Collaborated with Google to integrate budget and keyword recommendations for Search and Performance Max Ad Campaigns, surfacing CPC and forecast metrics which led to doubling (2x) increase in first-time ad campaign creation.

Collaborated with Facebook (Meta) and led the implementation for Facebook CAPI conversion events and data quality improvements as DRI, integrating Dataset Quality APIs to raise baseline event quality (46% → 79%) and scale event syncing from 7,500 to 10,000 events created by users.

Led Ads frontend modernization and reliability efforts, migrating 100+ components to a new design system and delivering OAuth security hardening, outage handling, reporting integrations, and DFC (Apollo) migrations.

Devised Python scripts to automate data extraction from multiple IBM databases, enabling seamless generation of comprehensive weekly reports for stakeholders, saving an average of 15 hours per week

Architected a web application using Flask (Python) for the backend and JavaScript for the frontend, allowing users to generate complex database queries from text-based questions, reducing development time by 60% while increasing accuracy by 85%

Organize various events like seminars, workshop, hack-a-thons, and how-to sessions.

Nurture a student community with the knowledge of their technology or services.

Developed a machine learning model based on Cryptocurrency/Blockchain to predict the price of a particular cryptocurrency on a day using prehistorical data over a period of time and evaluate the model to achieve an accuracy.

Incorporated scripts using Python to build the model based on Time Series Analysis and perform Feature Engineering Techniques and to fit the data into the model, so that testing can be performed.

Explored ways to visualize and forecast the evaluated model using Plotly and Matplotlib.

Deployed the model; with further optimisation produced an impact of accuracy about 90%.

Worked on Real-time data and implemented Machine Learning algorithms on the data.

Optimised the performance metrics of implemented models by varying parameters which impacted better accuracy.