Data Analyst with 1+ years in Data Analytics & Project Coordination.
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Analytical and detail oriented Computer Science graduate with hands on experience in data analytics, business insights, product operations, and pre-sales support through internships and academic projects. Skilled in SQL, Excel, Python, dashboarding, KPI analysis, and stakeholder communication, with experience in process mapping, requirement gathering, and insight generation. Adept at collaborating with cross functional teams, interpreting business metrics, and providing actionable recommendations to support strategic decision making. Quick learner with strong problem solving skills and a passion for business and product analytics.
ATME College of Engineering
Bachelor of Engineering · Computer Science
August 1, 2023 – June 30, 2025
Vidyavardhaka Polytechnic
Diploma · Mechanical Engineering
August 1, 2018 – June 30, 2021
Rooman Technologies
AIML Intern
February 1, 2025 – June 1, 2025
India
Setty Mech Engineers
Junior Project Coordinator
March 1, 2022 – January 1, 2023
India
Real Time Social Media Analytics
June 28, 2026 – Present
Collected and analyzed social media data for trends and sentiment. Built dashboards for real-time monitoring of campaign performance. Used simple AI prompts to summarize insights automatically.
Customer Journey & Product Analytics
June 28, 2026 – Present
Analyzed customer data to identify behavior patterns and segment users. Created interactive dashboards using Streamlit / PowerBI to visualize insights. Generated actionable reports for marketing and product decisions.
Analytics Data Pipeline & Reporting
June 28, 2026 – Present
Built a basic data pipeline to collect, clean, and organize data from multiple sources. Automated simple reports and dashboards for business insights using Python & Excel. Ensured data accuracy and presented findings to support decision-making.
Generative AI & Prompt Engineering Fundamentals
Unknown
June 1, 2026 – Present
Operating System Fundamentals Certification
Unknown
June 1, 2026 – Present
Business Analytics Fundamentals
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a proactive approach to learning and applying data analysis techniques. The AIML internship shows an interest in emerging technologies and a willingness to support data-driven decision-making. The diverse project types (social media, customer journey, data pipeline) indicate adaptability and a broad interest in different data applications. The candidate's background in Computer Science and Mechanical Engineering, coupled with certifications in Business Analytics and Generative AI, suggests a curious and continuous learning mindset, which aligns well with a dynamic work culture.
Soft Skills & Operational Fit
The candidate's experience as a Junior Project Coordinator and AIML Intern suggests good organizational skills, ability to coordinate activities, maintain documentation, and collaborate cross-functionally. These experiences indicate a foundational understanding of operational workflows and the importance of clear communication and documentation in a team setting. The summary also highlights strong problem-solving skills and a passion for business and product analytics, which are valuable for operational fit.