VEERA VENKATA NAGA JAGADISH CHITTIBOMMA — Data Analyst / Associate Analyst · Drivetube Profile

Career Objective

Data Analyst with 0 years of experience translating complex datasets into actionable business insights using SQL, Python, and BI tools. Skilled in ETL, exploratory data analysis, visualization (Power BI, Tableau), and building automated analytics workflows to support data-driven decision making.

Education

Dhanekula Institute of Engineering and Technology, AP

B.Tech in Information Technology • AP, India • 2021 – 2025

Narayana Junior College

Intermediate (MPC) • 2019 – 2021

A.A.N.M & V.V.R.S.R High School

SSC (Class X) • 2018 – 2019

Technical Skills

Programming Languages: Python,Java

Frameworks and Libraries: Pandas,NumPy,Matplotlib,Seaborn

Databases: SQL,MySQL,MongoDB,Snowflake

Cloud and DevOps: AWS,Azure

Data and Analytics: Power BI,Tableau,Excel,DAX,Machine Learning,Natural Language Processing,Generative AI,Prompt Engineering,Data Modeling,Exploratory Data Analysis,ETL,dbt

Tools and Methodologies: Jupyter Notebooks,Git,GitHub,Postman

Projects

GenAI Powered Data Analytics & Insights Simulation (Tata Virtual Experience / Forage)

Tools Used: Generative AI, Large Language Models, Prompt Engineering, Business Reporting, Dashboarding

Simulated the role of a data analyst interpreting business queries and applying structured analytical frameworks to dynamic datasets.
Used prompt engineering and generative tools to automate structural data documentation, SQL query synthesis and descriptive reporting text.
Translated raw data patterns into executive-ready presentation summaries, linking analytics insights directly to operational business recommendations.

End-to-End BI & Data Analytics Pipeline (Academic Project)

Tools Used: Python, SQL, Tableau, Excel, AWS S3

Extracted public API data with Python scripts and constructed scheduled pipelines to produce structured datasets for daily analytical research.
Cleaned, transformed and staged unstructured API payloads into normalized reporting tables optimized for analytical query performance.
Loaded curated analytical layers into Amazon Redshift and wrote complex SQL (CTEs, window functions) to compile core business performance metrics.
Designed interactive Tableau dashboards to surface KPIs and trends for stakeholders, enabling quick business reviews and decision-making.

Large-Scale Dataset Analysis & Insight Generation (Academic Project)

Tools Used: Python, Pandas, NumPy, Jupyter Notebook, CSV Data Analytics, Data Visualization

Ingested and analyzed multi-gigabyte CSV datasets to identify distributions, outliers, anomalies and data-quality issues affecting downstream reporting.
Performed deep-dive exploratory data analysis with multi-key aggregations, conditional filtering and structural joins to isolate key trends.
Optimized data processing by applying Pandas vectorization and chunked reads to reduce memory overhead and enable scalable analysis in local environments.

Retail Performance Data Dashboard (Mini Project)

Tools Used: Power BI, Excel, SQL, Data Modeling, KPI Tracking

Simulated live retail transactions and consolidated historical sales into a centralized relational data model to support retail analytics.
Built custom KPI calculations using DAX and complex aggregations to calculate windowed revenue margins and growth trends.
Developed interactive Power BI dashboards to visualize regional performance and enable stakeholder-driven filtering and drill-down analysis.

Certifications

GenAI Powered Data Analytics Job Simulation — Tata (Forage)

Python Programming Certification — Cisco Networking Academy & OpenEDG Python Institute

Java Programming Certification — Infosys Springboard

ChatGPT / Generative AI — International Institute of Digital Technologies (IIDT)

C++ Certificate — IIT Bombay Spoken Tutorial