PEDDAPOTHULA VENKATA KUMAR
KADAPA
Summary
Results-driven Associate Trainee with a B.Tech in Computer Science and hands-on experience in data analysis, annotation projects, and business intelligence tools. Proficient in SQL, Python, Excel, Power BI, and Tableau, with a proven track record of improving data accuracy by 20% and enhancing project efficiency by 15%. Skilled at cleaning, analyzing, and visualizing data to deliver actionable insights. Eager to leverage analytical expertise and problem-solving skills to support organizational decision-making and growth.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Associate Trainee
MOURI TECH Pvt Ltd
04.2024 - 10.2024
- Contributed to annotation and data analytics projects using Canvas tool.
- Improved annotation accuracy by 20% through meticulous labeling practices.
- Enhanced project efficiency by 15% with optimized workflows.
- Collaborated with cross-functional teams to deliver high-quality datasets.
Intern
CAPGEMINI
11.2022 - 05.2023
- Completed training internship covering Embedded C, Data Structures, and Operating Systems.
- Strengthened problem-solving skills and coding fundamentals.
Education
B.Tech - Computer Science and Engineering
Gandhiji Institute of Science & Technology
Vijayawada, India05-2022
Intermediate - MPC
Sri Chaitanya Junior College
Vijayawada, India04-2018
SSC -
Sri Vaalmeeki High School
Kadiri, India03-2016
Skills
- SQL Python Excel Power BI Tableau Statistical Analysis
- Data analysis and visualization
- Canvas annotation tools
- Data-driven decision making
- Analytical decision-making
- Strong organizational skills
- Data documentation and analysis
- Collaborative teamwork skills
- Flexibility and knowledge enhancement
Certification
- Certified Data Analyst – Datamites, 2024
- Full Stack Java – JSpiders Marathahalli, 2023
Languages :
English
Telugu
Hindi
Timeline
Associate Trainee
MOURI TECH Pvt Ltd
04.2024 - 10.2024
Intern
CAPGEMINI
11.2022 - 05.2023
B.Tech - Computer Science and Engineering
Gandhiji Institute of Science & Technology
Intermediate - MPC
Sri Chaitanya Junior College
SSC -
Sri Vaalmeeki High School
Project :
- Profit Analysis Dashboard (Power BI): Built dashboard to analyze predicted vs actual profit across states, improving decision-making for business investments.
- Women Safety Analysis (Machine Learning on Twitter Data): Analyzed 2000+ tweets to identify women's safety issues, contributing to research on social safety measures.
- Analyzed product performance, inventory, transportation modes, and manufacturing costs to optimize supply chain efficiency across key Indian cities.
- The Medical Data History Project focused on analyzing patient records, doctor details, admissions, and provincial data using SQL. Key insights included patient demographics, diagnosis trends, hospital admissions, allergy tracking, and obesity classification, supporting data-driven decision-making in healthcare.
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