Headline

Senior Manager | Data Science | Time Series | M.Sc. Statistics IIT Kgp | Gen AI

About

At Dentsu, I am currently working on data science initiatives on search visibility on retail websites and AI engines. Prior to this I was responsible for deploying a highly accurate demand forecasting for a beverage company in Asia. Prior to joining Dentsu, I was heading the smart city vertical within the Labs BU for NEC India where I was involved in building and deploying solutions affecting the social use cases like water, parking, grievances of a smart city. With years of experience in AI driven problem solving, the work spans applications of computer vision, machine learning and time series modeling. Prior experience includes customer experience and operations analytics to enhance digital and offline platforms. Dedicated to delivering impactful, scalable AI solutions tailored to meet diverse organizational needs.

Location

Bengaluru

AI stack

codex

gemini

github copilot

langchain

langgraph

openai

Work experience

Senior Manager - Modeling and Data Science at dentsu, Aug 2025 - Present · 1 yr 1 mo, Bengaluru, Karnataka, India, Deployed a highly accurate (more than 95% MAPE) demand forecasting model for a Asian F&B major using digital marketing data and competitor data. Also working on initiatives related to search visibility and traffic generated from AI engines. Worked on understanding the impact of product integrity on online visibility and sales of a product on online retailers in US and EMEA for a large beauty conglomerate.

Senior Manager - Data Scientist NEC Labs India at NEC Corporation, Apr 2023 - Aug 2025 · 2 yrs 5 mos, Bengaluru, Karnataka, India, Managing and mentoring a group of 6-8 data scientists on smart-city initiatives with focus on integrating solutions into Indian government’s ICCC dashboard. • Designed the suite of use-cases for smart city vertical including KPIs, scoping,data requirement and led the initiative for a certain smart city in southern India. Handled cross-functional teams including sales and smart city during this initiative. • Spearheaded the first ever water related solution for any smart city in India. This solution forecasts the water demand at different intervals and pipelines for the water distribution authority. • Generated a forecasting model for predicting cash flow and cash conversion cycle of NEC India. The accuracy of the model reported a 32% gain from the manual process of finance team. In addition, the team created a chat bot which extracted information from multi modal PDFs and scanned PDFs containing plain text, tables and complex charts with texts to answer questions related to quarterly and annual reported financial results including revenue, BU performance, cash flows and cash conversion cycle and its components. • Monitored the deployment of a grievance management tool using GenAI for a smart city classifying grievances posted on X along with sentiment analysis. Saving at least 1-2 hours per day for manual classifiers. Created a conversational chat bot which replies to queries from smart city managers related to grievances by extracting answers from tweets posted on X. • Secured a solution using MobileNet and Resnet on edge detected images for detecting and classifying hazard symbols on containers entering a port for a container handling company. Improved the detection rate over humans by 4%. • Researched and executed a POC on forecasting using LLM Time-LLM algorithm).

Data Scientist NEC Labs India at NEC Corporation, Sep 2019 - Mar 2023 · 3 yrs 7 mos, Greater Bengaluru Area, Using Computer Vision, creating Indian digital transformation solutions in the field of logistics and aquaculture for public and private organisations. Also building Time Series forecasting model in fintech.

Manager at Citi, Dec 2015 - Aug 2019 · 3 yrs 9 mos, Bengaluru, Karnataka, India, • Building high lift customer journey models leading to complaints. IVR Payments failure model helped reduce failure rate by more than 12% thereby reducing calls and improving NPS. • Mining digital data to enhance US Retail Bank payment & transfer webpage and mobile app experience. • Customer pain points classification of Citi US website and mobile app feedback on digital channel experience using supervised machine learning techniques • Topic discovery from US card product surveys • Operational metrics forecasting using Time Series techniques. • Data visualization using Apache Impala and Zoomdata (Snowflake SQL)

Business Analyst at HP, May 2010 - Nov 2015 · 5 yrs 7 mos, Greater Bengaluru Area, • Identified why HP's Inkjet printers were rated poorly on online sites like Amazon, Best Buy. Compared HP and its Inkjet printer competitors using sentiment testing using reviews from online sites. • Forecasting operation metrics and creating weekly dashboards using Time series • Printer lifetime failure forecasting of Inkjet printers’ families using BASS model across regions. • Driver analysis for improving NPS/CSAT in NA and APAC region for printers and personal systems using regression like Shapley value • Received the CSS 2H FY13 Heroes for Amazon.com customer comments insights analysis

Applied Statistician at Deep Value, Feb 2010 - May 2010 · 4 mos, Greater Chennai Area

Education

Advanced Certification Programme, Agentic AI and Generative AI, Indian Institute of Science (IISc)

M.Sc, Statistics and Informatics, Indian Institute of Technology, Kharagpur