Satish Kasarla
Professional Summary
Detail-oriented Data Analyst with 2.7+ years of overall experience in data extraction, cleaning, analysis, and visualization across food delivery and operations domains. Currently working at Tribmart Private Ltd on Trifgo food delivery app — collecting and analyzing 10,000+ daily order records, building Power BI KPI dashboards with 4 key visuals, and preparing 20+ weekly and monthly Excel reports for operations and management stakeholders. Identified that 60% of orders come between 12–2 PM and 7–9 PM, helping the team reduce delivery delays by 15%. Proficient in Python (Pandas, NumPy, Matplotlib, Seaborn), SQL, MySQL, Power BI (DAX, Power Query), and Excel. Experienced in end-to-end data workflows — ETL pipelines, EDA, data cleaning, KPI tracking, dashboard development, and stakeholder reporting. IBM-certified in Data Analysis with Python (Sep 2024). Completed GenAI Powered Data Analytics simulation with Tata (Forage) and Data Analytics simulation with Deloitte Australia (Forage) in June 2026. Passionate about transforming raw data into actionable business insights.
Technical Skills
Work Experience
- Collected and maintained 10,000+ daily order records for the Trifgo food delivery app to ensure accurate operational and management reporting (MySQL, Python).
- Extracted order, delivery-time, item-level sales and location data from production MySQL databases using optimized SQL queries to support analytics and dashboarding.
- Performed data cleaning and preprocessing with Python (Pandas) — removed duplicates, imputed/fixed missing values and standardized timestamps for reliable analysis.
- Analyzed order trends, peak hours, top-selling items and delivery performance using SQL aggregations and Python groupby to identify operational improvements.
- Designed and deployed a Power BI KPI dashboard (total orders, hourly trends, top items, delivery time by location) to provide real-time insights to stakeholders.
- Prepared 20+ weekly and monthly Excel reports and collaborated with operations and management; analysis of peak windows led to schedule changes and reduced delays by 15%.
- Took a planned break for personal health recovery, then transitioned to focused self-learning to move into Data Analytics.
- Completed certifications: IBM Data Analysis with Python and Cisco Python Essentials 1 to strengthen core programming and analytics foundations.
- Completed GenAI Powered Data Analytics and Data Analytics job simulations (Tata and Deloitte Forage) to practice real-world analytics scenarios.
- Built hands-on skills in Python (Pandas, NumPy), SQL, Power BI and Excel through guided labs, exercises and sample projects.
- Practiced end-to-end data workflows including extraction, cleaning, exploratory analysis, visualization and dashboard development.
- Prepared reusable notebooks and sample dashboards to demonstrate baseline analytics capabilities for stakeholder reporting and KPIs.
- Developed Python scripts to automate data extraction from MySQL databases, cutting manual reporting effort by approximately 40%.
- Used Pandas to clean, transform and structure raw data into formatted Excel reports consumed by internal business teams.
- Authored SQL queries with JOINs, GROUP BY and subqueries to aggregate and filter customer data for weekly reporting requirements.
- Performed data validation and quality checks on automated outputs to ensure accuracy prior to stakeholder distribution.
- Collaborated with senior team members to gather reporting requirements and translate them into repeatable data pipelines.
- Version-controlled scripts using Git and documented execution steps to enable handover and scheduled runs for recurring reports.
Education
Certifications
Achievements
- Data Analytics Job Simulation Deloitte Australia (Forage) — June 2026
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