Devajith VM

Data Analyst

85 · Excellent

About

Data Analyst with hands-on project experience in SQL, Python, and Power BI, skilled in data cleaning, exploratory data analysis (EDA), and dashboard reporting. Proficient in Pandas, NumPy, and Excel for transforming raw datasets into clear business insights. Political Science graduate who transitioned into analytics through structured, self-driven training; brings strong analytical thinking, attention to detail, and a fresh, business-aware perspective to data problems. Seeking an entry-level Data Analyst role to apply technical and analytical skills to real business decisions.

Skills & Expertise (30)

English Advanced

8.0/10

Years Exp

Python Advanced

8.0/10

Years Exp

SQL Advanced

8.0/10

Years Exp

Pandas Advanced

8.0/10

Years Exp

Exploratory data analysis Advanced

8.0/10

Years Exp

Data Cleaning & Preprocessing Advanced

8.0/10

Years Exp

Analytical Thinking Intermediate

7.5/10

Years Exp

Attention to Detail Intermediate

7.5/10

Years Exp

Problem Solving Intermediate

7.5/10

Years Exp

MySql Intermediate

7.5/10

Years Exp

Power BI Intermediate

7.5/10

Years Exp

Dashboard Reporting Intermediate

7.5/10

Years Exp

Data Visualization Intermediate

7.5/10

Years Exp

Trend Analysis Intermediate

7.0/10

Years Exp

Data Interpretation Intermediate

7.0/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

Microsoft Excel Intermediate

7.0/10

Years Exp

Cross-Functional Communication Intermediate

7.0/10

Years Exp

Team Collaboration Intermediate

7.0/10

Years Exp

Matplotlib Intermediate

6.5/10

Years Exp

Descriptive Statistics Intermediate

6.5/10

Years Exp

Malayalam Intermediate

6.0/10

Years Exp

Probability Intermediate

6.0/10

Years Exp

Standard Deviation Intermediate

6.0/10

Years Exp

Data visualization with Power BI and Excel MS Excel / Google Sheets MS Excel Proficiency Data manipulation with SQL Database: SQL (SELECT, WHERE, JOIN, GROUP BY) Python (Pandas/Numpy)

Work Experience

Data Analyst

Amazon

Present - Present

Analyzed 1,000+ Amazon sales records using Python and Pandas to identify revenue trends and top-performing product categories. Cleaned and preprocessed raw sales data by resolving missing values, duplicate entries, and inconsistent formatting, improving overall dataset reliability for analysis. Performed exploratory data analysis (EDA) using Pandas and NumPy to segment sales by category and product, uncovering purchasing patterns to support merchandising decisions. Evaluated performance across multiple product categories to flag high-margin, high-volume items for potential business focus.

Data Analyst

E-Commerce

Present - Present

Analyzed end-to-end customer journey data using SQL and MySQL to map the conversion funnel and pinpoint stages with the highest drop-off. Designed an interactive Power BI dashboard tracking Total Revenue, Total Orders, Average Order Value, and Overall Conversion Rate for at-a-glance funnel monitoring. Wrote SQL queries using JOIN, GROUP BY, aggregate functions, filtering, and sorting across multiple relational tables to extract and structure business insights. Conducted traffic-source, device-level, and weekly trend analyses to identify the channels and platforms driving the strongest conversion performance. Surfaced customer behavior patterns from funnel data, translating findings into recommendations to improve conversion rate.