Data Analyst with less than a year in Data Analysis & Business Intelligence
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Result-oriented and detail-driven Data Analyst with 8 months of professional experience at Candorworks. Skilled in transforming raw data into meaningful insights that drive strategic business decisions. Proficient in SQL, Python, Power BI, Tableau, and Excel, with hands-on experience in machine learning, predictive analytics, and automation. Adept at developing interactive dashboards, optimizing data pipelines, and collaborating with cross-functional teams in Agile environments.
School of Pharmacy, SRTMU, Nanded
Bachelor of Pharmacy (B.Pharm)
N/A – Present
Imarticus Institute Pune, India
Post Graduate Diploma · Data Science and Analytics
N/A – Present
Candorworks
Data Analyst
April 1, 2025 – December 31, 2025
Pune, Maharashtra, India
HCP Performance & Cohort Analysis Dashboard
May 1, 2025 – December 31, 2025
• Developed a Power BI dashboard analyzing HCP performance using enrollments, NPS, and discontinuations. • Performed cohort analysis (2021 vs 2022) and lifecycle segmentation using Rx duration buckets. • Built DAX measures and KPIs to identify engagement trends and improve retention strategies.
Cipla Performance & Market Analysis Dashboard
May 1, 2025 – December 31, 2025
• Developed an interactive Power BI dashboard analyzing brand-level performance, including Growth Rate (GR%), Market Share (MS%), and contribution to overall Rx, with time-based comparisons (MAT analysis). • Conducted specialty-wise analysis (Respiratory segment) to evaluate performance, contribution to portfolio, and benchmark against market trends. • Performed state-wise analysis across India, identifying high-growth and underperforming regions using map visuals and contribution metrics. • Generated actionable insights and strategic recommendations by synthesizing data into clear visual reports, improving decision-making for business stakeholders.
Telecom Customer Churn Prediction System
May 1, 2025 – December 31, 2025
• Developed a churn prediction model to identify high-risk customers using historical usage and subscription data. • Built and tested machine learning models (Logistic Regression, Decision Trees), achieving 85% prediction accuracy. • Conducted EDA and data visualization to identify key churn drivers and customer segments. • Enabled identification of high-risk customer segments, helping improve targeted retention strategies and reduce potential churn risk.
Cultural Fit Analysis
The candidate's projects show a diverse application of data analysis skills across different business domains (healthcare, telecom). The experience in a professional setting at Candorworks, involving stakeholder collaboration and Agile methodologies, indicates an ability to integrate into a structured work environment. The breadth of technical skills (SQL, Python, Power BI, ML) suggests adaptability and a willingness to learn and apply various tools, which is positive for cultural fit in a dynamic team. However, the limited professional experience (8 months) means there's less evidence of long-term cultural integration.
Soft Skills & Operational Fit
The candidate demonstrates good operational fit through experience in Agile ceremonies and collaboration with cross-functional teams. The ability to translate business requirements into technical deliverables and create comprehensive documentation suggests strong organizational and communication skills within a team context. The focus on automating tasks and improving efficiency aligns with operational excellence.