Working with the MacroXStudio team to develop an LLM-powered data analysis chatbot for our capstone project. The tool enables non-technical users (portfolio managers, quants) to perform standard statistical analysis, regression, and univariate/bivariate analysis easily through an intuitive interface in natural language.

Currently working in the Lopatkin lab developing novel data-driven methods to enhance our understanding of Horizontal Gene Transfer (HGT)• Designed and implemented software pipeline for PlasAnn, a bioinformatics tool for accurate and rapid plasmid annotation• Deployed and hosted the library on PyPI, making it accessible to researchers and developers in the bioinformatics community• Developed generative model (Difussion and Transformer based model) for synthetic plasmid replicon sequences, yielding novel plasmids for biotechnology• Presented research posters on PlasAnn, at three conferences, won Best Poster Award at a prestigious conference/symposium

Teaching Assistant for GBA465 - Python Analytics for. R Programmers.

• Spearheaded a high-impact, multimillion-dollar digitalization initiative at Vedanta Aluminum Business, strategically tackling logistics challenges within the outbound supply chain.• Collaborated with renowned industry leaders, including KPMG, TCS, and Autoplant, to craft a comprehensive digital infrastructure roadmap that aligned with business objectives.• Successfully oversaw all aspects of the project, from logistics planning to in-depth cost analysis, ensuring a sound return on investment (ROI) while addressing longstanding supply chain inefficiencies.• Driving India's pioneering digitalization effort in the manufacturing sector, revolutionizing the supply chain for complete visibility, timely interventions, heightened customer satisfaction, and streamlined automation.

• Collaborated with Vedanta Group CMO to enhance the quality and domestic market share of aluminum products• Identified production process pain points through market research and competitive product benchmarking• Successfully boosted Vedanta Aluminum’s market share by 3% with 25% decrease in customer complaints during FY 2023

• Conducted in-depth data analysis for the Indian coal and power sector, driving strategic decision-making with data insights• Led digitalization initiatives, resulting in an $18 million annual cost-saving and enhanced coal quality for increased energy output• Developed hybrid forecasting models (ANNs, SARIMAX) for optimized power plant operations, improved boiler efficiency by 5%• Applied data science techniques to drive sustainability in power generation, contributing to 3% reduced carbon emissions• Proficiently created impactful PowerBI reports, simplifying complex data to facilitate informed decision-making• Awarded the title ”Innovative Icon for Quarter-II of Financial Year 2021-2022” by Vedanta Resources PLC

• Created a specialized algorithm to analyze molecular motion in video recordings of active colloidal particles using microscopy• Implemented the Hungarian algorithm to distinguish and identify individual particles, overcoming their visual similarity• Integrated Kalman filtering to predict particle positions across consecutive frames, effectively resolving particle overlap challenges• Successfully achieved a remarkable 95% accuracy in tracking particle positions

• Developed an intelligent oil change solution for conventional automobiles, integrating Engine Control Unit (ECU) implementation• Conducted Exploratory Data Analysis to identify key parameters impacting engine oil lifespan, utilizing OBD-II and J1939 data• Tested classification models, including XGBOOST, LDA, and Logistic Regression, to predict DPF regeneration during oil cycles• Achieved a 97% accuracy on test data using the XGBOOST model, enhancing predictive capabilities for oil cycle management

• Developed a Deep Learning application for Real‑Time Semantic Segmentation of aerial images and road scenarios.• Used OpenCV to process the Vaihingen, CamVid & Cityscapes datasets, and trained the ENet Architecture (Deep Neural Network).• Segmented the images for various classes, such as Building, Road, Tree, Sky, Car, Pedestrian, Sidewalk, Low Vegetation, and Fence.• Achieved the Mean Intersection‑Over‑Union (IoU) of 67%. Awarded as the Best Intern Student with Excellent Grade.

Being the secretary of the photography society IIT Kanpur my job was to cover and publish various events, workshops and festivals that were conducted. I also represented IIT Kanpur at the Inter IIT cultural festival in December 2018 which was held in Roorkee.

I was senior manager of DJ War which is one one the most anticipated events of Antaragni the annual cultural festival of IIT Kanpur. I was responsible for the location bookings and the smooth conduction of the events at various locations including Bangalore, Mumbai, Kolkata, etc.