Satish Kasarla
Data Analyst • Hyderabad, India • s***************@gmail.com • +91*******653 • drivetube.ai/•••••
Professional Summary
Data Analyst with 2.7+ years of experience in Python-driven analysis, SQL-based data extraction, ETL pipelines, and Power BI reporting. Skilled at cleaning and transforming datasets, building KPI dashboards, and delivering stakeholder reports that drive operational improvements.
Technical Skills
Programming Languages: Python
Frameworks and Libraries: Pandas,NumPy,Matplotlib,Seaborn
Databases: SQL,MySQL
Data and Analytics: Power BI,DAX,Power Query,Excel,Pivot Tables,VLOOKUP,Charts,ETL Pipelines,Data Cleaning,Data Wrangling,Exploratory Data Analysis,Dashboard Development,KPI Tracking,Stakeholder Reporting,Data Storytelling
Tools and Methodologies: Jupyter Notebook,Google Colab,Git,VS Code,MS Office
Work Experience
Tribmart Private Ltd
Vijayawada, India
Assistant Developer (Data Analysis & Reporting)
Jan 2025 – Present
Worked on data analysis and reporting for Trifgo food delivery app at an e-commerce/food-delivery company; supported operations and management with ETL, dashboards, and reports.
Tech Stack: Python, Pandas, MySQL, SQL, Power BI, Excel
- Built ETL workflows using Python and MySQL to ingest and maintain 10,000+ daily order records, ensuring accurate datasets for business reporting and downstream analytics.
- Cleaned and processed raw order and delivery data with Pandas—removed duplicates, handled missing values, and standardized date/location formats to improve analysis reliability.
- Analyzed order trends, peak hours, top-selling items, and delivery performance using SQL aggregations and Python groupby; identified that ~60% of orders occurred between 12–2 PM and 7–9 PM.
- Developed a Power BI KPI dashboard with visuals for total orders, hourly trends, top items, and delivery time by location to give operations and management a single source for performance monitoring.
- Prepared 20+ weekly and monthly Excel reports with Pivot Tables and charts for operations and management to track KPIs and support scheduling and resource planning.
- Collaborated with cross-functional teams to deliver data queries, ETL pipelines, dashboards, and stakeholder reports that supported schedule optimization and contributed to a 15% reduction in delivery delays.
Career Break — Self-Learning & Upskilling
Hyderabad, India
Data Analytics Upskilling
Jun 2023 – Dec 2024
Planned career break dedicated to structured upskilling and hands-on practice in data analysis, Python, SQL, Power BI, and reporting to transition into data analytics roles.
Tech Stack: Python, Pandas, NumPy, Power BI, SQL, Jupyter Notebook, Google Colab, Git, Excel
- Completed IBM Data Analysis with Python and Cisco Python Essentials, plus Tata GenAI and Deloitte Australia data analytics simulations to solidify applied analytics knowledge.
- Practiced end-to-end data workflows—data extraction, cleaning, exploratory analysis, visualization, and dashboard development—using Python, SQL, and Power BI.
- Built hands-on practice projects and exercises to replicate production-style reporting and ETL tasks, improving speed and accuracy of data preparation and visualization.
- Worked with sample datasets (including 10,000+ record sets) to perform EDA, aggregation, and KPI definition to mirror real-world operational reporting scenarios.
- Created reproducible notebooks in Jupyter and Google Colab and version-controlled scripts with Git to demonstrate repeatable data processes and maintainable code.
- Focused on stakeholder reporting and KPI-driven dashboards to prepare for immediate contribution to operations and management reporting on reentering the workforce.
Atos Syntel Pvt. Ltd
Chennai, India
Associate Consultant (Python Developer)
Apr 2022 – May 2023
Worked at an IT services/consulting firm on customer reporting automation projects, delivering scripted data extraction and formatted reports for internal business teams.
Tech Stack: Python, Pandas, MySQL, SQL, Excel
- Developed Python scripts to automate data extraction from MySQL databases, cutting manual reporting effort by 40% and enabling more frequent distribution of customer reports.
- Used Pandas to clean, transform, and structure raw customer data into formatted Excel reports, improving consistency and readability for business stakeholders.
- Authored SQL queries incorporating JOINs, GROUP BY, and subqueries to pull and filter customer datasets for weekly operational and management reporting.
- Performed systematic data validation and quality checks on automated outputs to ensure accuracy prior to stakeholder distribution and reduced report rework.
- Collaborated with senior consultants to gather reporting requirements and translate them into structured ETL steps and deliverable report formats.
- Provided ad-hoc analysis and troubleshooting for reporting issues, accelerating turnaround for stakeholder queries and supporting uninterrupted report delivery.
Education
Sree Vahini Institute of Science and Technology, Tiruvuru
Bachelor of Technology – Electrical & Electronics Engineering • Jul 2018 – Aug 2021
Certifications
Data Analysis with Python — IBM, Cognitive Class • Sep 2024
Python Essentials 1 — Cisco Networking Academy • Sep 2024
GenAI Powered Data Analytics Job Simulation — Tata (Forage) • Jun 2026
Data Analytics Job Simulation — Deloitte Australia (Forage) • Jun 2026
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