Data Analyst with less than a year in Business Intelligence & AI/ML
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Assessing your cultural and operational fit
Highly motivated Electronics and Communication Engineer with a B.Tech degree, specializing in data science and business analytics. Possesses a strong foundation in Python, SQL, and Power BI, coupled with practical experience in market research, KPI tracking, and developing AI-driven solutions. Proven ability to translate complex data into actionable insights and build interactive dashboards to support data-driven decision-making.
Gopalan College of Engineering and Management
B.Tech · Electronics and Communication Engineering
August 1, 2019 – June 30, 2023
Parentof Solutions
Business Analyst Trainee
June 1, 2025 – September 1, 2025
India
Intellipaat & Microsoft
Data Science Intern
October 1, 2024 – March 1, 2025
India
Business Process Optimization & Operational Insights (Streamlit Dashboard)
June 30, 2026 – Present
Analyzed service delivery data to identify SLA breaches, delays, and workflow bottlenecks. Built a Streamlit dashboard showing SLA trends, team performance, weekly patterns, and escalation insights. Created process maps and a RACI chart; recommended improvements across workflows and escalation paths. Delivered estimated impact: +20% SLA compliance, -25% resolution time, -40% escalations.
FinTech Market Entry Strategy & Competitive Benchmarking (Live Streamlit Project)
June 30, 2026 – Present
Conducted market research on India's digital lending & BNPL ecosystem, analyzing competitor positioning and key industry trends. Built a Streamlit dashboard benchmarking 8 FinTech competitors on pricing, approval TAT, product features, and performance KPIs. Designed a structured benchmarking dataset covering MAU, approval rates, TAT, feature set, and tech-stack maturity to identify strategic gaps. Delivered consulting-style recommendations (target segments, GTM strategy, pricing, risk controls) using frameworks such as SWOT and Porter's Five Forces.
Data science Certification
Microsoft & Intellipaat
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects show a diverse application of data analysis in FinTech and operational efficiency, indicating adaptability. The focus on delivering consulting-style recommendations and improving business metrics aligns with a results-oriented culture. The internship experiences suggest a willingness to learn and apply new technologies like GenAI. However, the overall experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates good operational fit through project experience in business process optimization and competitive benchmarking, indicating an understanding of business context. The descriptions suggest an ability to translate data into actionable recommendations. However, specific soft skills like teamwork, leadership, or conflict resolution are not explicitly detailed.