Nikita Sachan

Data Analyst

Bengaluru, Karnataka 1+ yrs exp 82 · Excellent

About

Data Analyst with hands-on experience in data analysis, exploratory data analysis (EDA), data visualization, and SQL querying. Proficient in Python, Pandas, NumPy, Power BI, and Excel. Experienced in customer segmentation, funnel analysis, and dashboard development to drive data-driven business decisions.

Skills & Expertise (19)

Pandas Intermediate

6.2/10

Years Exp

Python Intermediate

6.2/10

Years Exp

SQL Intermediate

6.0/10

Years Exp

Power BI Intermediate

6.0/10

Years Exp

Excel Intermediate

6.0/10

Years Exp

Jupyter Notebook Intermediate

6.0/10

Years Exp

NumPy Intermediate

6.0/10

Years Exp

EDA Intermediate

6.0/10

Years Exp

Data Cleaning Intermediate

6.0/10

Years Exp

Preprocessing Intermediate

6.0/10

Years Exp

Customer Segmentation Intermediate

6.0/10

Years Exp

Funnel Analysis Intermediate

6.0/10

Years Exp

Matplotlib Intermediate

5.6/10

Years Exp

Seaborn Intermediate

5.6/10

Years Exp

GitHub Intermediate

5.0/10

Years Exp

Git Intermediate

5.0/10

Years Exp

ETL Intermediate

5.0/10

Years Exp

MySql Beginner

4.0/10

Oracle Beginner

4.0/10

Work Experience

Data & Customer Insights Analyst

Ecentric India Pvt. Ltd.

Mar 2026 - Present

Analysed customer purchase data to identify preference patterns — segmenting buyers by product category (lounge pants, yoga wear, co-ords), order frequency, and repeat vs. one-time purchase behavior. Investigated non-purchase and drop-off behavior — studied why potential customers did not convert, mapping friction points across the purchase funnel using order and feedback data. Performed EDA on customer interaction and order data to surface trends in returns, exchanges, and complaints — helping the ops team prioritize fixes. Built reports and dashboards summarizing customer sentiment and feedback patterns, enabling the leadership team to make data-backed product and service decisions.

Data Analyst Trainee

Pyspiders Marathahalli

Aug 2025 - Feb 2026

Python for Data Analysis: Gained hands-on experience with NumPy and Pandas for data cleaning, transformation, and exploratory data analysis on real-world datasets. Data Visualization: Applied Matplotlib, Seaborn, and Power BI to derive insights and present findings through charts and interactive dashboards.