Sreekanth Kondeti
Data Analyst Trainer
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About
Data Analyst Trainer and Power Platform Developer with 3+ years of hands-on experience delivering Business Intelligence solutions using Power BI, SQL, DAX, Power Query, and Azure Data Factory. Skilled at using AI tools to build and validate accurate Power Apps and Power Automate logic, speeding up development while ensuring reliable results. Passionate about helping students and professionals build practical, job-ready skills through real-world projects and modern, AI-assisted workflows.
Demo video Link : https://youtu.be/9b31Mp8CHXk (Recommended to watch)
Linked In : https://www.linkedin.com/in/sreekanth-k-3693ksk/
Experience
Freelance Data Analyst — Healthcare Analytics at Freelance (2025-12 – Present)
Healthcare Reports & Dashboards for U.S.-Based Clients
- Designed and delivered patient-specific Power BI dashboards and healthcare reports tracking patient volumes, readmission rates, and claim denials.
- Built a Power Apps patient-entry app and Power Automate flows for automated alerts and confirmation emails, using AI tools to develop and validate the correct formulas and flow logic efficiently.
- Implemented Row Level Security (RLS) so each client views only their own data, and created step-by-step documentation for end-users.
Power BI Developer / Data Analyst at I-Weave Solutions (2019-10 – 2023-02)
- E-Commerce Analytics Dashboard — Client: IndiaMART (Sep 2020 – Feb 2023): Gathered requirements with cross-functional teams and built an end-to-end e-commerce analytics solution across each project stage. Built ETL pipelines in Azure Data Factory, modeled data as a star schema, and created dynamic DAX measures with Power Query transformations. Published interactive dashboards and custom visuals on Power BI Service, using SSRS for on-demand executive and ad-hoc reporting.
- Banking Analytics Dashboard — Client: Barclays (Nov 2019 – Aug 2020): Created interactive Power BI dashboards with automated reporting using DirectQuery for real-time banking insights. Maintained the data warehouse through extraction, cleansing, aggregation, and validation for exploratory data analysis (EDA) and root cause analysis. Communicated findings through clear data storytelling, helping non-technical users understand and act on reports.
Education
B.Sc. in Mathematics, Statistics & Computer Science (MSCS) – Sri Venkateswara University, Tirupati (2016 – 2019)
PG in Big Data Analytics-mangalayatan university(2025-2026)
