Headline

Data Analytics Consultant @ Tredence Inc. | AI Engineering | Databricks | GCP | Azure | Retail Analytics

About

Growing up, I used to break things and get scolded by my mom a lot. But I think that is how I started learning about stuff. And coding is precisely the same, a cycle of breaking and fixing things..... I am a seasoned Data Analyst passionate about Data Science and intrigued about the world of Finance. I firmly believe that Data Science and its evolution will change the world in ways unimaginable. I am highly skilled in Machine Learning, Data Visualization, and Data Analysis. I am proficient in Hypothesis Testing and can leverage my skills to analyze vast amounts of data using several tools like Python, Excel, SQL, Power BI, Tableau, etc. I can utilize my skills to look at vast amounts of data from a vantage point with a data-driven perspective and generate informative, meaningful, and valuable insights. I can use my visualization skills to find the appropriate chart that can convey the right insights and trends in the underlying mammoth of a dataset. I have an attitude of doubt concerning data that compels me to question the nuances of every trend and relationship in the data. This quality makes me ideal for analyzing and spotting valuable information hidden inside heaps of uncomprehensive datasets.

Location

Bengaluru

AI stack

antigravity

claude

github copilot

langgraph

mcp

obsidian

Work experience

Analytics Consultant at Tredence Inc., Jul 2025 - Present · 1 yr 3 mos, Benguluru, - Solely leading the end-to-end development of an MVP-stage AI agent designed to support replenishment analytics within the retail domain. - Built a production-ready analytical application that enables business users to query replenishment data through natural language and instantly retrieve raw data, summaries, and actionable visualizations. - Engineered cyclic multi-agent workflows (LangGraph, LangChain, Google ADK) to interpret user intent, orchestrate data retrieval, and generate high-quality insights from existing replenishment datasets. - Integrated LLMs with strict schema validation (Pydantic) to ensure consistent and reliable analytical responses, including charts, tables, and data slices. - Implemented semantic retrieval using Milvus VectorDB to improve relevance of analytical outputs and reduce token consumption for repeated or complex data lookups.

Analyst at Tredence Inc., May 2024 - Jun 2025 · 1 yr 2 mos, Hyderabad, Telangana, India, Client: Fortune 50 retail client Retail, Media & Network (Marketing audience creation, management, and camapign measurement) - As part of the Retail Media Network (RMN) project, drove significant campaign efficiency and insight generation by strategically developing 120+ targeted audiences for diverse campaigns to cater to a plethora of retail vendors, followed by the creation of comprehensive post-campaign measurement reports on Tableau/PowerBI. These reports, analyzing clicks, impressions, and sales data within defined attribution windows, provided critical insights that demonstrably informed client strategies and optimized future campaign performance. - Revolutionized data accessibility and analytical speed by architecting parameterized Databricks pipelines, resulting in a 40% reduction in the time required for audience creation and campaign measurement. This optimization, coupled with the development of dynamic Tableau dashboards leveraging LiveRamp (a leading data connectivity platform), enabled real-time tracking of crucial KPIs such as customer conversion rates, CPM, CTR, and new-to-brand audience engagement, directly empowering stakeholders with actionable, data-driven insights.

Analyst at Tredence Inc., Mar 2023 - May 2024 · 1 yr 3 mos, Bengaluru, Karnataka, India, Client: Fortune 50 retail client Data Migration - Headed a four-member team in executing meticulous data quality assessments through DBT (Data Build Tool) as a pivotal component of a strategic data migration initiative. - Orchestrated the design and execution of sophisticated data models for a distinguished retail client, optimizing data structures to drive operational efficiency. Member 360 Data Architecture - Led the design and implementation of Member 360 data models for a leading retail client, enabling end-to-end visibility into the customer lifecycle—from enrollment and transactions to membership updates, consent management, and beyond. - Collaborated with cross-functional teams to establish and implement robust data quality checks, contributing to a seamless migration process and achieving key business KPIs for data accuracy and reliability. - Performed Root Cause Analysis (RCA) to uncover underlying reasons for pipeline failures and discrepancies in data. Utilized investigative skills to pinpoint issues and implement effective solutions, ensuring seamless project operations and data integrity.

Software Engineer at LTIMindtree, Jun 2021 - Feb 2022 · 9 mos, Bengaluru, Karnataka, India

Machine Learning Intern at Dhyanahitha Organization, Mar 2020 - Jul 2020 · 5 mos, - Learned and oversaw various Data Science topics. - Learned about various Machine Learning and Deep learning Techniques. - Built several Machine Learning models based on various Machine Learning Algorithms.

Core Member at Innovation Center GITAM, Hyderabad, Apr 2019 - Aug 2021 · 2 yrs 5 mos, Hyderabad, Telangana, India, - Organized several workshops on IoT, Ethical Hacking, Cyber Security, and Augmented Reality. - Played a crucial role in organizing the Technical Fest of GITAM University called La-Elvitia. - Organized meetings to discuss various issues and improvements to be made in order to ensure the smooth functioning of the body. - Worked as an organizational head in the core team formed by the body to organize the annual cultural fest of GITAM, Hyderabad called PRAMANA2021

Member at Innovation Center GITAM, Hyderabad, Mar 2017 - Apr 2019 · 2 yrs 2 mos, India

Education

Bachelor of Technology - BTech, Computer Science and Engineering (CSE), GITAM Deemed University

Secondary Education, CBSE, Hindu Public School