Nov 2023 – Sep 2024 · 10 mos · Bengaluru, Karnataka, India

Sep 2022 – Sep 2023 · 1 yr · Bengaluru, Karnataka, India

Mar 2022 – Sep 2022 · 6 mos · Bengaluru, Karnataka, India

• 1. Developed RNN-based multi-class classification models to categorize customer complaints into distinct categories (e.g., delivery issues, product defects, and service delays) with high accuracy.
• 2. Applied Generative AI techniques to create automated complaint resolution templates tailored to different complaint classes, reducing response time by 30%.
• 3. Utilized text mining on customer feedback to extract actionable insights, enabling proactive product improvements.
• 4. Integrated RNN models with customer support systems to ensure real-time complaint classification and route high-priority cases to the appropriate teams.
• 5. Collaborated with engineering and product teams to incorporate AI-driven feedback loops, improving product features based on recurring complaint patterns.

Apr 2020 – May 2021 · 1 yr 1 mo

Mar 2020 – Mar 2022 · 2 yrs

• Handled Complete south India ( Bangalore, Hyderabad, Madurai, Chennai, Trichy, etc).
• Handled Market Place (Supply and demand), customer Discounting, Captain (Driver) target and day to day level data analysis and build business strategy with Regional Manager, city head and deputy manager, etc on the basis of the data.
• Location Intelligence: Solving marketplace, discounting and sub. passes problems.
• Know your customer (Cluster Analysis for persona identification ) for the marketing team for discounting and subscription passes.
• PWA ( Progressive Web Application) analysis of Flipkart, Paytm, Gpay.
• Work on customer Referral marketing campaigns.
• Build strategies for customer acquisition.
• Identify fraud from the customer and captain side and try to reduce it.
• Work on Customer & Captain Segmentation.
• Worked on discounting, incentive and marketing campaigns.
• Built a cluster score card for Marketplace (Linear regression).
• Solved the mismatch problem of supply & demand.
• Created NDL(nearest demand location) recommendation.
• Helped in building product features “Ping time” and “Ping Radius” by A/B testing.
• Build a real time simulation for Weekday vs weekend analysis (Bike).
• Identified and reduced fraud and increased usages of Rapido Wallet.
• Build dashboards and solve Ad Hoc requests.
• Work with multiple stakeholders i.e Product, Marketing, Operation, Strategy, and Business finance.
• Define and Measure the success KPIs for each project working across functions.

Dec 2019 – Mar 2020 · 3 mos

Mar 2019 – Oct 2019 · 7 mos · Gurugram, Haryana, India

• At Yatra, I have got a chance to work with a wonderful team including top 10 Data Scientist in India, Ankur Narang , https://www.analyticsindiamag.com/top-10-data-scientists-india-2017/
• Working with :
• −Email Bot
• −YUVA https://www.yatra.com/online/yt-launches-yuva
• −Working in NLP
• −Train the bot by using Spacy and Dialogflow.
• −Work on intent classification for different LOB.
• −QA of the Email Bot
• −Maximize the Bot performance by analyzing the queries and
• training the bot.
• −A/B testing for the Email-Bot
• #Business Intelligence:
• − Create the dashboard by using Qlik Sense and SuperSet.
• − Maintenance of Qlik Sense Server and Super Set Server as a
• Deploy and Administer.
• − Ad-hoc reporting on daily basis by Qlik Sense and SQL.
• − Web Scraping: Use Selenium to extract the desired data.
• AWS:
• Instance creation.
• Work on the server for cleaning the logs.

Oct 2018 – Feb 2019 · 4 mos · Udaipur, Rajasthan, India

• Working on Marketing Analytics, Quantitative Marketing, Brand Management, Advertising, Machine Learning & Text Mining(NLP) at Indian Institute of Management, Udaipur

Apr 2018 – Jun 2018 · 2 mos · Mumbai, Maharashtra, India

• Working with advance analytics, machine learning, data visualization by using R, Python, SQL, Tableau, Excel.
• Working with financial analytics, marketing analytics, HR analytics, fraud analytics, etc

Jun 2017 – Aug 2017 · 2 mos

• I completed my internship in Data Science and Analytics with Managerial Applications under the supervision of Prof. Sameer Mathur (IIM L).
• http://www.iiml.ac.in/?page_id=2682&link=50

May 2017 – Jun 2017 · 1 mo · Noida Area, India

• I am working as an Marketing Business Analyst ( Data scientist) at IMS- Dia India.
• Responsible for measuring, managing and analyzing customer data to make effective marketing decisions.
• Businesses today have access to an increasingly large amount of detailed customer data, and this influx of data is only going to continue. Combined with a detailed history of marketing actions, there is a newfound potential for deriving actionable insights, but you need the tools to do so.

Mar 2017 – Feb 2018 · 11 mos · New Delhi Area, India

• Speedy News: News Before the Market Knows.
• Speedy News is the India’s leading Hindi –English news portal. The news website that stands for real news and gives you real value for search & reading.
• Speedy News complies with the details of all important information and events related to the country and the world, in collaboration with all other portals and websites. There are reports of national, international, politics, country, society and business related to economic, strategic, diplomatic issues related to crime. Apart from this, many important information related to sports, entertainment, the art world, literature and theater, religion and science, tourism and lifestyle, news offenders are delivere.
• Please visit the https://speedynews.in/

Aug 2015 – Mar 2016 · 7 mos · Greater Lucknow Area

• Lecturer in mechanical engineering department,
• Apollo institute of technology, Dr. A.P.J. Abdul Kalam Technical University (APJAKTU/UPTU ) , Kanpur, Uttar Pradesh (August 2015 – March 2016)

Mar 2014 – Apr 2014 · 1 mo · New Delhi Area, India

Jun 2013 – Jul 2013 · 1 mo · WANAKBORI THERMAL POWER STATION GUJRAT

• in Boiler Maintenance Department Section.
• Have learnt the functioning of thermal power plant from scratch to till electricity distribution.