1. Manage and optimize databases and data sources essential for business reporting and insight generation, ensuring seamless data flowacross various platforms. Collaborate with cross-functional teams to ensure data accuracy, consistency, and timely availability for analysisand decision-making processes.2. Developed automated pipelines to generate, customize, and distribute detailed Excel reports to multiple stakeholders across departments.These reports, automatically scheduled and tailored to individual needs, provide critical real-time insights into operational performance,helping teams track ongoing processes, identify bottlenecks, and make data-informed decisions for future strategies.3. Own and maintain over 100 Tableau dashboards used by senior leadership to monitor key performance indicators (KPIs) and gain valuablebusiness insights. Regularly update and optimize dashboards to ensure data accuracy, relevance, and actionable insights, supportingexecutives in driving business strategy and improving overall organizational performance.4. Handled the Paid Search campaigns and data analytics for the client.5. Used Google Adverb and Bing Ads to run and manage multiple campaigns to attract users for the product.3. Manages the spending of over $800K per month and brings business worth multiple folds.

Trained more than 300 CSE students in the python programming language.

•Built a chatbot app with Langchain's chains, tools and agents, and OpenAI using thePinecone vector database, with both Python and NodeJS backend.•Converted the Stable Diffusion model to TensorFlow lite, inferenced it, and wrote amedium article highlighting the potential of Wasmedge technology.

• Created the visualization pipeline, added various plots for a dataset health check, and visualized model predictions.• Utilized docker swarm and docker-compose to package the application into containers.• Implemented Yolo v3 tiny model and added it to the object-detection pipeline.• Worked with Optuna library to tune hyperparameters using different samplers and pruners algorithms.• Converted TensorFlow and Pytorch models to onnx format and successfully inference them.

• The development of the Battery Pack casing & Structural Mounts.• The FEM simulation to do the design optimization for Automotive Vibration & Shock Loading.Exposure :::: | FEM simulations | Catia V5 | SolidWorks | Manufacturing Techniques | Teamwork.