Sep 2023 – Nov 2024 · 1 yr 2 mos · Bengaluru, Karnataka, India · On-site

• AI Engineer working in Technology Sales department at IBM developing client engineering solutions leveraring WatsonX AI capabilities.
• Product Search Text2SQL Chatbot | Tanishq-Titan Ind.
• Enabled product search module in WatsonX Assistant Chatbot framework for India's leading jewellery brand easing 4.8M customers
• Leveraged WatsonX.ai LLAMA to generate SQL code for natural language user queries with few shot instruction prompting into LLMs
• Marketing Message Generation | Analyst Report Summarization for HDFC Life Insurance
• Fine tuned IBM's proprietary LLMs in (WatsonX) to generate marketing SMS messages personalized to user profile
• Generated consolidated summarization from annual financial reports from different analysts highlighting trends and impacts

Jul 2021 – Apr 2023 · 1 yr 9 mos · Pune, Maharashtra, India · Hybrid

• Agora - Video Intelligence
• Implemented and trained object detection algorithms to detect objects of interest in video streams using PyTorch
• Deployed to Edge IOT Devices using Azure enabling on-site inferencing with shortened response time by 45%
• SLB Profitability Forecast
• Designed and deployed MLOps pipeline in GCP to predict SLB profitability KPI's - Revenue and Contribution Margin
• Enabled CI/CD and ML pipeline automation ensuring best KPI predictions to dashboard reducing execution time by 80%
• Parts Demand Forecasting
• Applied time-series forecasting techniques based on demand profile to predict parts demand & to minimize overstocking
• Leveraging the forecasted demand an average reduction in lead time by 12% was estimated

Jul 2019 – Jun 2021 · 1 yr 11 mos · Mumbai Metropolitan Region

• Network Coverage Optimization
• Developed a reinforcement learning agent to locate optimal spots for new cell towers increasing network coverage to 97%
• Created map-based coverage validator using leaflet and Python to perform coverage analysis on cell tower parameters
• Leveraged the validator for line of sight and hindrance tower identification to assist the 5G planning team
• Video Analytics Platform for Physical Security of Reliance Jamnagar Refinery
• Built fire detection module training CNN model in tensorflow to raise fire alarm from CCTV footage Kafka streams
• Supported implementation of inferencing framework to drive rule-based alerting providing intelligence to the security team
• Recharge Gap Analysis
• Predicted customer's likelihood to have recharge gap of greater than 6 days for 4M customers of most sought after plan (Rs. 149) amongst Jio subscribers in Mumbai circle with 82% accuracy and 0.79 AUC using Random Forest classifier
• Extracted 50+ statistical features from customer's data and voice usage experience of 7 days before plan expiry using Hive and performed collinearity and feature importance analysis for feature selection and engineering
• Estimated around Rs. 4.7M revenue lift per day from this effort for Mumbai circle
• Fiber to Home KPI monitoring system
• Conceived and developed KPI rule execution engine in Python and created KPI data pipeline using Pyspark
• Automated dashboard metrics monitoring and enabled Fibre KPI stakeholders to conveniently configure alerting rules

May 2018 – Jul 2018 · 2 mos · Gurgaon, India

• Worked to build solutions for Online Travel industry using Data Science:
• Built production-level time-series model for predicting the highly dynamic Airline prices accurate to 80% facilitating customers to make the right booking at right time.
• Performed sentiment analysis on customer reviews using sentiment-word embeddings to better understand the airline customers needs & preferences.
• Worked to design FAQ answering system implementing NLP in spaCy achieving 81% accuracy.

May 2017 – Jul 2017 · 2 mos · Greater Delhi Area

• Worked on Customer Relationship Management (CRM) Analytics :
• 1.Performed market basket analysis using Apriori algorithm to design a menu optimization system for restaurants.
• 2. Performed Cohort Analysis to help the client understand their customer retention trends and leveraged the data to identify the causes of low customer retention.
• 3. Applied K-Means Clustering algorithm for segmenting client's customers which further helped the client to understand their customers better and to customize policies for different customers.
• 4. Used Tableau to create a Business Intelligence report on customer behaviour and sales with varieties of visualizations such as dual axis charts and heat maps.
• 5. Learned to deploy Data Science as a service on the cloud using Microsoft Azure cloud services.

Dec 2016 – Jan 2017 · 1 mo · Dhanbad-Ranchi Area

• Worked on various mine machineries , their working and safety features-
• Learned about the functioning & safety features of coal washery & other mine machines.
• Assisted the team involved in system maintenance operation of Dozer, Loader & Dumper..