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Diksha Vijay

Diksha Vijay

Data analyst

Mumbai $40/hr
85
Profile Score

About

I bring a strong combination of analytical expertise, business understanding, and proven impact. In my current role at ICICI Bank, I work with large-scale datasets (60M+ records) to build customer profitability models and segmentation strategies that directly support pricing, retention, and revenue decisions.  I have hands-on experience in SQL, Python, ETL pipelines, and Power BI, and have used these skills to deliver actionable insights for 1,000+ users. My work has led to identifying loss-making segments, discontinuing 10% of unprofitable merchants, and enabling cost recovery from 41% of the portfolio—demonstrating a clear focus on business impact.  With a strong foundation in statistics and machine learning, along with experience collaborating with cross-functional stakeholders, I am well-equipped to translate data into meaningful insights and contribute effectively from day one.

Skills & Expertise (30)

SQL Expert
9.0/10
2
Years Exp
Python Advanced
8.7/10
2
Years Exp
Customer Segmentation Advanced
8.6/10
2
Years Exp
Power BI Advanced
8.3/10
2
Years Exp
Machine Learning Advanced
8.1/10
2
Years Exp
Stakeholder Management Customer Profitability Modelling Risk Analytics Banking Analytics Data Governance Data Modelling Data Cleaning SQL Query Optimisation ETL Pipelines MS Excel Tableau Jupyter Notebook Git Seaborn Matplotlib scikit-learn NumPy Pandas Predictive Modeling Feature Engineering Hypothesis Testing A/B testing Statistical Modeling Deep Learning Object-Oriented Programming

Work Experience

Data Analyst – Data Science & Analytics Group

ICICI Bank Limited

Jun 2024 - Present

Designed and optimised high-performance SQL queries and ETL pipelines processing 60M+ records to compute customer-level profitability and Integrated Relationship Value (IRV) across retail banking products. Collaborated with multiple product teams and key stakeholders to understand product-specific fee and cost structures; designed IRV-based customer segmentation (A+ to E−) supporting pricing, retention, and loss-making customer action strategies. Strengthened enterprise Power BI dashboards with customer 360° analytics and Next Best Product intelligence, enabling faster decisions for 1,000+ frontline users. Conducted deep-dive analysis on a 2-lakh merchant dataset, identifying top revenue and cost drivers; uncovered 3% invalid merchants and segmented portfolio into 30 cohorts — directly enabling discontinuation of 10% loss-making merchants and cost recovery from 41% of the portfolio. Analysed 5 lakh+ New-to-Bank (NTB) liability accounts over 2 years using hypothesis testing and bucket-based cohort analysis to identify activation trends and improve portfolio quality.

Education

M.Sc. in Mathematics & Computing - Indian Institute of Technology, Guwahati

2022 - 2024 · India

B.Sc. in Mathematics - S.S. Jain Subodh PG College, Jaipur

2018 - 2021 · India

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 5/5
🏆 Certs 0/5
Verified 5/5
Total Score 85/100

Profile Overview

Member sinceMar 2026

Availability Details

Visa Status

Citizen

Relocation

Depends on Offer

Skills (30)

SQL Python Customer Segmentation Power BI Machine Learning Stakeholder Management Customer Profitability Modelling Risk Analytics Banking Analytics Data Governance +20 more