Harshita Tripathi

Ex-Assistant Manager with a successful track record in retail operations transitioning into a Data Analyst role after completing Great Learning Bootcamp. Over 3.5 years of experience in managing retail operations, including merchandising strategies, customer retention, and sales generation known for high productivity and efficient task completion.Proficient in customer service,data analysis, shrink control, loss prevention ensuring smooth operations and positive team dynamics. What truly drives me is the ability to turn raw data into actionable strategies that impact the bottom line positively.

• Data Analyst Program-Great Learning Career Academy
• Data Analyst Corporate Training and Internship -TechTip 24
• Power BI-Great Learning Career Academy
• Power BI Workshop-Growth School

Predicting Car Pricing :

Bussiness Objective-To build a model for predicting the price of a newly launched car. 

Approach-Data cleaning and data analysis using python. Performed feature engineering before building a base model. Conceptualized techniques for feature selection to build a final linear model with best parameters.

Tools Used- Python libraries: Numpy, Pandas, Seaborn, Statsmodels, Scikit-learn.

 Credit Card fraud Detection Analysis:

Bussiness Objective

-EDA and statistical analysis of Credit card dataset.

Approach- Followed statistical concepts for solving problem statements in detecting fraud. Used EDA to draw business insights from dataset.

Tools Used- Python libraries: Numpy, Pandas, Seaborn.

HR Analysis Dashboard-Power BI:

Bussiness Objective-To create HR Analytics Dashboard using Power BI for in depth insights into workforce trends.

Approach-Analyzed employee data to identify key factors impacting attrition,including job satisfaction and work life balance.

-Implemented a variety of Power BI visualizations(bar chart,pie chart,etc) for effective data representations.