Headline

Never accept the Obvious!

About

Just another Business Analyst proudly consuming data that belongs to someone else and churning out insights which would be helpful had they arrived few months back!😇 Just kidding, I am a good Business Analyst. Notice that I worked with one of the best brand in boutique analytics and yeah our work really helps our clients. Also, just in case you have missed, I joined as a Consultant and then got promoted to Associate Manager - Insights. Which could mean only one thing; my managers are naive. Anyways, post that I thought it would be great to take my expertise into some place where they would value it, hence joined a fast growing startup which has nothing to do with selling bread, clothes and crockery. I would talk about it in details sometimes later. But prior to that I was working on shipping analytics for a large marketplace e-commerce client. If you are wondering why did they select me for the job? Well, the decisions made by White House on the "T" word, and a couple of playful tresspassings in the last few years, have created an environment where people like me have become important. But the icing on the cake is, we can now deliver insights and simply say, well the market wasn't ready for this move! ... That again proves that I am a good Business Analyst.🤣 By the way, just so you know, someone at the top though it would be a good idea to give me more work, and that led to some recognitions that you will find in my posts. I don't like to brag about them, but a subtle nudge will make you go through my profile in depth. Also, I have posted about a fast fashion company that kind of steals money from their customers, but you can ignore them. 😏 Now that you have read till here, tell me something; do you agree that in current era of insights mining, bulk of reports are like bikinis? Hiding what matters and revealing what all know?😎

Location

Bengaluru

AI stack

claude code

gemini

glama

notion

Pipecat

Pinecone

Work experience

Sr. Business Analyst at Rize, May 2026 - Present · 5 mo, Remote, I am responsible for building the high speed analytics layer for all sales related activity. My objective is to ensure Sales Operations gets to know (how, when and where) the ground force is planning, executing and performing. That tangible insight leads to further clarification being raised for the intended strategy.

Associate Manager - Insights at Tredence Inc., Aug 2025 - May 2026 · 10 mos, Kolkata, West Bengal, India, I am currently working on insights mining analyses that tend to uncover pain-points in customer experience, vendor/supplier's relations and adoption of policies related to supply chain operations.

Consultant at Tredence Inc., Dec 2021 - Jul 2025 · 3 yrs 8 mos, Kolkata, West Bengal, India, As a consultant, I undertook the following activities: a. Coordinating with various stakeholders of our clients and collection information on some specific feature or process occurring in the online or offline shopping experience of customers. Post this, we identify the DBs and create and execute SQL queries to generate our objective specific insight. b. Data Quality Check on the DBs in use as well as the DBs deemed suitable by Model Building Team. c. Analysis of Pre Vs. Post COVID-19 Trends related to an average consumer's essential Vs non-essential purchases. d. Data Modelling to understand the propensity of consumers towards healthy F&B products.

Data Analyst - Technology at GreedyGame, Apr 2021 - Nov 2021 · 8 mos, Bengaluru, My responsibilities included : • Analysis of Product Metrics of Mobile Apps (Gaming) for improving revenue by optimizing user engagement against advertisement placement. • Developing in-game reward metrics to maximize revenue by optimizing the Rewarded Video Content’s valuation against least possible downsizing of User Engagement Metrics. • Planning and execution of A/B Testing for analysis impact of levers on Revenue Optimization for clients. • Developing in-house algorithm for Recommendation System to suggest Ad Revenue optimization tactics for client apps. • Planning Lead Generation Strategy based on Content-Based Recommendation System, and designing a POC. • Designing Fraud Detection Algorithm based on Time Series Classification approach.

Data Analyst at Shadowfax, Nov 2020 - Apr 2021 · 6 mos, Bengaluru, Karnataka, India, My responsibilities included: • Performing Root Cause Analysis on issues pertaining to L1 Metrics. • Automation of BI report generation using python scripting. • Developing dashboards for L1 metrics monitoring using MySQL/PostgreSQL interface on Periscope.

Data Analyst and AI Engineer at Xerus Systems, Apr 2020 - Oct 2020 · 7 mos, Bengaluru, Karnataka, India, My responsibilities included: • Visualization of sensor data using Tableau Desktop. • Optimizing data source through Tableau Prep Builder and scheduling data flow through Tableau Prep Conductor. • Implementing logical and streaming replication on PostgreSQL Server for high availability. • Handling technical design of Flexi-Reporting Project in Manufacturing Automation domain for premier US customer. • Handling technical design of Digital-Vault Project for document protection in Corporate Confidentiality Management.

Teach For India Fellow at Teach For India, Jun 2018 - Nov 2018 · 6 mos, Bangalore, • Taught junior school students in underprivileged community. • Personally fostered a culture of holistic development through various extra-curricular activities. • Collaborated with peers, for the development of life skills among the students, through social projects like Colormanch, Dramebazz and Cam Diaries, and securing voluntary corporate stakeholder for these projects.

Education

Post Graduate Diploma in Big Data Analytics, Centre for Development of Advanced Computing (C-DAC)

B.Tech, Electronics and Communication Engineering, Bhagalpur College of Engineering