Built a forecasting model for an American skiing resort company that predicted week-on-week guests count for the next season's preparation.

Developed ML pipeline to find the rank of potential new store locations over PAN India cities for Furniture retail clients.

Understood client brief over projects, assignments, or client requests and translate them into tasks and analysis steps. On-time delivery of insights and results back to the Client.

Provided data and information required by key client stakeholders in the marketing/retail/brand teams for effective planning, campaign management, and customer strategy to develop & manage performance reports for brand & business performance on an ongoing basis.

Performed K Means clustering on the rides to identify the high performing, low performing, and medium performing rides.

Identified cold spots within the park using clustering which helped develop a plan to tackle the cold spots of the park.

Predicted operation cases for 2020 which helped the operations department identify days on which it's more likely to receive a lot of cases to allocate resources accordingly.

Performed customer segmentation using K Modes as all fields were categorical.

Created a binary classification model to predict if an operations case will breach SLA with an f1 score of 89 percent and created a web application around this using streamlit.

Analyzed the trend in revenue, occupancy, and ARR by creating dashboards.

Wrote queries using SQL to extract data and analyze it, predicting future revenue using Excel and Alteryx.

Automated reports using google sheets and script editor, increased the revenue from 3.6million in 5 months by identifying the high booking period.

Developed several MIS reports for various departments including finance, IT, HR, etc which helped to improve decision making and internal business process and wrote queries on Microsoft SQL to pull relevant data.

Led transition of autonomy platform from a spaghetti-code state machine to a behavior tree with encapsulated modules, which improved testability and increased code re-use.

Planned & initiated robotic system development project for IEC 61508 compliance.

Mentored engineers to improve team capability and recognize stellar performance, resulting in 2 promotions and 1 hire with 100% retention.

Implemented CANopen-based embedded control system for forklift automation, improving start time from 30s to 5s, and reducing packet loss from 5% loss to <0.1%.

Scrambled to create a forklift pick & place trade-show demo in 6-months. My primary contribution was electrical system design, embedded software development, and all vehicle interfacing.

Designed CI/CD system to test and deploy ROS2 packages & multi-architecture docker images.

Developed $ deployed statistical control models for semiconductor deposition processes, improving controller performance(CPK) of yield-critical processes by 30%.

Led team of 8 in developing web-based control system tuning application for use by 800 technicians, which reduced human error by 5% and recovered 4 hours/week.

Led project to create a collision-tolerant 1/10 scale vehicle platooning system for academic research within budget(10 vehicles at $2000 each), achieving navigation around 400m track at 3mps.

Evaluated navigational control models in simulation and verified on physical system with constraints: GPS inaccuracy, network latency, vehicle dynamics(network latency, vehicle dynamics).

Developed classical image processing object tracking algorithms for use in navigation, achieving 95% accuracy and high throughput(10 HZ on Arm Cortex A8).

Data scraping (automated) in Python(object oriented, using BeautifulSoup, Selenium).

Statistical analysis (descriptive), user clustering, data visualization(Python and Power BI).

Creation of a SQL database for Tableau.

Fetched data on a AWS Redshift database using SQL (PostgreSQL), up to 10,000,000 of rows.

Processed, cleaned and formatted various data using NumPy and Pandas.

Visualized data using QuickSight and Python libraries (Seaborn, Matplotlib), created a dashboard.

Implemented a machine learning regression model (random forest) for time series prediction in 3 weeks.

Led a group project (team of 5): leadership, project management, teamwork, task assignment.

Created a collaborative platform for service selling (database management, programming, business plan).

Designed, developed, and implemented a market entry strategy and pitch deck for a new product.

Led efforts to improve efficiencies, increase sales and develop a business strategy in 5 different industries by implementing lean concepts and practices.

Achieved web content annotation and data labeling for Al training, for top tech. companies.

Reviewed/ annotated/ wrote code for existing programs and integrated existing data sets.

Collected, organized, and annotated images from open source projects and corporate projects into a single database for use in information management and analytics platforms.

Involved in building robotic actuation and sensing with the accuracy of 99.72%.

Built robotic vehicles and manipulators for national defense purpose.

Collaborated Robotics Modeling and Simulation, Robotic Systems Estimation, and Robotic Mobility for 6 months.

Generated and released tests on petrochemical assets with ANSYS mechanical and met project timelines 87% faster.

Drafted procedure recommendations and Kanban charts to ensure product excellence, growing number of accounts from 89 to 102.

Discussed expansions, and concerns with clients and classified feedback for senior managers, increasing service fulfillment by 3.1%.

Lifted facility efficiency with Value Stream Mapping(VSM) and Kaizen, optimizing worker to workload proportions by 5.2%.

Promoted efforts of establishing three new vendor relationships to result in 7.8% cost-benefit, from $112,000 to $103,264.

Examined process and inventory control and presented plans for future procedure revisions in biweekly 19 personnel presentations.

Built AI tools to determine future mainframe system behavior in real-time and developed neural network and natural language processing models in Python to predict program output and failures based on firmware changes, the total value added to the project estimated at $200K per system and $1M per year.

Applied theories of mathematical optimization and linear programming algorithms to discover optimal supply chain solutions.

Designed and developed complex simulation and optimization models (C/C++) to craft profit-generation strategies and containerized and deployed optimization applications to Kubernetes clusters on IBM Cloud resulting in a project that provides an annual ROI of $250K.

Developed analysis and visualization tools for IoT data using Python data science libraries (SciKit-Learn, Pandas, TensorFlow).

Analyzed operational and hyperlocal weather data using statistical methods and reviewed research data and crafted tailored strategies for new client acquisition.

Collected and analyzed data from news and social media sources, and developed predictive models for cryptocurrency futures trading.

Designed Natural Language Processing (NLP) algorithms to valuate cryptocurrencies using sentiment analysis (Python, NLTK).

Provided analytical support for the launch and management of new quantitative investment products & strategies.

Analyzed and managed financial data of up to $500K per year for Columbia personnel and developed strategies to reduce financial waste and optimize budget & resources by leveraging advanced capabilities in Microsoft Excel.

Researched methods for P&L optimization based on budgets, and presented reports of research findings using data visualization tools.

Designed and developed automated testing frameworks using C++ and Java for manned, deep-space exploration spacecraft.

Analyzed testing data output and compiled research papers for senior software engineers and conducted optimization and operations research and presented findings to senior government officials.

Led and managed a team of engineers, and successfully delivered multiple IoT products on time and on budget.

Improved average delivery time of development projects by 20% by streamlining the engineering process and allocating more resources to development.

Ensured projects are completed on time and within budget by hiring and retaining a team of highly efficient and motivated engineers.

Developed and executed on the roadmap for the engineering team which resulted in the fastest and safest delivery of company software in the company's history.

Implemented software development methodologies and best practices, including the use of automated unit testing, static analysis, and system-level integration testing, which resulted in a significant reduction in defects and greatly improved the quality of released software.

Lead design, architecture, and development of IoT core applications that supported millions of telemetric data from thousands of connected devices by optimizing the algorithm that aggregates data from all devices.

Migrated a monolithic app to a microservice architecture using Kubernetes and Docker, resulting in a 10x improvement in the number of features completed each week.

As VP of Engineering, designed and architected scalable telemetric data storage which resulted in a 10x increase in read and write performance with a 10x reduction in storage costs.

Developed a rules engine to evaluate near-real-time metrics data for customers.

Spearheaded SOC2 Type 1 and Type 2 report certification to ensure security protocols are up-to-date and drive the company ahead of the competition.

Architected and managed AWS infrastructure and led the development, deployment, and maintenance of API core services.

Improved video recommendation engine's video clickthrough rate by 10% by adding a new recommendation algorithm.

Developed an Isomorphic React application and improved its performance by 30% by introducing code splitting.

Developed web applications utilizing BackboneJS, CodeIgniter, and PostgreSQL.

Reduced response time by 75% for a critical application by implementing a caching layer with Memcached.

Led the AWS architecture design for Skyport Cloud, which resulted in a 90% reduction in infrastructure costs, and a 10x decrease in deployment time.

Developed microservices in a team of 4 engineers, resulting in a robust, distributed, and scalable system to support 100,000+ WiFI-connected thermostats.

Developed Business Intelligence application for enterprise customers to manage energy consumption across multiple brick-and-mortar locations.

Designed and developed a SPA for the client's internal team, which increased their productivity by 33%, utilizing Adobe Flex and Java.

Led the transition of the company's web platform from Flash to a JavaScript-based architecture utilizing BackboneJS and a RESTful API, resulting in improved developer workflow, reduced development time, and increased user satisfaction.

Managed 3 teams of strong cross-functional engineers across many aspects of the property and asset management divisions.

Consolidated 2 acquired companies into one cohesive product and operational system by leading a cross-functional team to develop a roadmap and timeline for the project during and after the consolidation, resulting in 20% fewer operational staff.

Mentored over 20 engineers by coaching, leading performance reviews, and offering constructive feedback, which resulted in a 5% increase in performance reviews performed on time.

Designed and architected the complete microservice system for powering property management for over 2000 homes in under 9 months with a team of 6.

Collaborated with a cross-functional team on ETL (Extract, Transform, Load) design and implementation, speeding up the processing time by 60% by creating a new pipeline in Python to process the data.

Developed database architectural strategies for modeling, design, and implementation to address business requirements, using a combination of UML and Python, increasing data throughput by 100%.

Steered efforts to increase the new owner and property onboarding rate by more than 50%.

Reduced time to market product deliverables by 50% using DevOps techniques, such as continuous integration and delivery (CI/CD), on the Amazon Web Service (AWS) infrastructure.

Managed a data team of 5 by holding weekly meetings and setting quarterly goals, with a team productivity increase of 25%.

Implemented a data ingestion strategy for accessing third-party programmatic application interfaces (APIs), reusing code, reducing the time to integrate new APIs by 80%, and increasing the number of APIs supported by 50%.

Accountable for the $2M+ data engineering budget in a highly competitive environment by providing monthly reports to stakeholders and key executives on the status of projects.

Modeled and perfected forward-thinking systems that meet user needs and improve productivity by 80% using Fluter and Swift.

Created custom mobile applications using native technologies for a large company, increasing the client's sales by 20%.

Applied the latest emerging technology, software, and project application trends to update and maintain site applicability for a client.

Led the product development of the Unity program platform for the A350, B787 & B777 Aircrafts, ensuring on time delivery and quality of the mechanical design.

Oversaw the mechanical design groups (16 engineers) of the USA and Mexico by chairing internal design review meetings and providing analytical and creative feedback.

Coordinated the mechanical design development, from concept generation to design validation and testing, between five sister companies design groups located in Wales, France, Tunisia, Mexico & USA.

Monitored design targets for performance, weight and cost by tracking and implementing weight reduction strategies as well as cost saving measures.

Chaired program design review meetings with supporting engineering disciplines & Integrated Product Team (IPT) to ensure effective communication, design harmonization and overall product quality.

Created and tracked high-level schedule (MS Project), according to product development roadmap, for the Unity platform (24-month program) by coordinating development with mechanical & electrical design, flammability, stress, certification, testing, industrialization, and tooling departments.

Monitored design to cost by tracking recurring and non-recurring costs (RC & NRC), ensuring clear cost targets (20% less than current programs in production), and creating accountability among the team.

Defined and managed changes to technical scope statement (WBS), working with cross-functional departments, by overseeing product design reviews, detailed cost analysis, design for manufacturing, quality criteria, and process standardization throughout design phases such as Preliminary Design Review, (PDR), Critical Design Review (CDR), First Article Inspection (FAI), product launch and aftermarket sustaining efforts.

Achieved on-time completion of all engineering deliverables on the concept design phase (4 months) for the Unity platform program, by gathering, distributing, and tracking requirements per PBS item to the design engineers.

Led up to 4 production programs at a time (i.e. KLM 787, American Airlines 777, ANA 787, Emirates A380) to ensure on-time delivery by facilitating support to operations.

Processed Engineering Change Request (ECR) by proposing solutions using problem-solving/root cause analysis methodologies (QRQC, 5WHY, DMAIC).

Scheduled engineering changes release plans for 3D models and 2D drawings to support production by approving designs for prototype submittal to validate design changes.

Handled improvements to the product submitted by operations by generating and tracking engineering change notices (ECN) and notifying Boeing or Airbus using the Request for Authorization of Change (RAC) and (EDES) Equipment Definition Evolution Sheet respectively.

Communicated released engineering changes to the Integrated Product Team (IPT) by being an engineering member of the Change Control Board (CCB).

Developed mechanism, purchased custom components, and completed field testing locating areas of improvement in the unit.

Composed binder with schematics, CAD drawings, and safety information delivered with a proposal to Pentagon stakeholders.

Designed custom Instron fixtures on SolidWorks to be machined for tensile pull tests and led testing to optimize parts and material choice and confirm margin of safety requirements.

Created a streamlined, organized database by introducing an automated spreadsheet to track hundreds of parts, costs, quantities, and shipping statuses.

Assembled space camera components per drawing specifications while learning technician processes guaranteeing flight deadlines were met.

Assembled complex sequences of military-grade ventilators for the Covid-19 Pandemic in an ISO 13485/FDA environment.

Documented production information via electronic logs following compliance for medical devices establishing a paper trail.

Presented research findings at culminating event for the grant received by the Women's Impact Network.

Collaborated with Ph.D. mentors and high school mentees to study soft robotics and pneumatic grippers.

Modeled and 3D printed gripper molds using different filaments to find the optimal material and cast prototypes for lab testing, ultimately resulting in a delicate, working gripper.

Facilitated research assignments to underprivileged high school students and ensured deadlines were met teaching mentees academic responsibility and introducing them to higher-level research in a supportive environment.