Kalyani Gaikar

Data Science and Analytics professional

Mumbai, Maharashtra 80 · Excellent

About

Data Science and Analytics professional with hands-on project experience in Python, SQL, Power BI, Excel, MySQL, and Machine Learning. Skilled in data cleaning, data wrangling, exploratory data analysis, statistical analysis, data visualization, dashboard development, and predictive modeling. Applied analytical techniques to real-world projects across supply chain, banking, and e-commerce to identify trends, generate actionable insights, and support data-driven decision-making.

Skills & Expertise (42)

Python Advanced

8.2/10

Years Exp

SQL Advanced

8.0/10

Years Exp

Pandas Advanced

8.0/10

Years Exp

Data Cleaning Advanced

8.0/10

Years Exp

Power BI Intermediate

7.8/10

Years Exp

Tableau Intermediate

7.5/10

Years Exp

Statistical Analysis Intermediate

7.5/10

Years Exp

scikit-learn Intermediate

7.0/10

Years Exp

Regression Intermediate

7.0/10

Years Exp

Classification Intermediate

7.0/10

Years Exp

Clustering Supervised Learning Model Evaluation Unsupervised Learning Conditional Formatting Advanced Formulas HLOOKUP VLOOKUP Power Pivot Slicers Pivot Charts Pivot Tables Microsoft Excel Window Functions Seaborn NumPy Data Wrangling EDA Trend Analysis KPI Analysis DAX Power Query Matplotlib Views Dashboard Development Data Modeling MySql Joins Subqueries Aggregations GROUP BY HAVING

Work Experience

Data Analytics Virtual Experience

Deloitte (Forage)

Jan 2026 - Jan 2026

Performed data cleaning, transformation, and exploratory analysis on structured datasets to identify trends and business insights. Analyzed datasets to identify business problems, patterns, and key findings using data analysis techniques. Developed visual reports to communicate analytical findings and data-driven recommendations.

Data Visualisation: Empowering Business with Effective Insights

TATA (Forage)

Jan 2026 - Jan 2026

Analyzed business datasets to identify performance trends and meaningful business insights. Applied appropriate data visualization techniques to communicate business performance and analytical findings. Presented insights through clear visual reports to support business decision-making.