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Akash Agarwal

Akash Agarwal

Data Analyst

Uttar Pradesh, India 80 · Excellent

About

Results-driven entry-level Data Analyst with a strong foundation in SQL, Python, and statistical analysis. Experienced in data cleaning, ETL processes, exploratory data analysis (EDA), and building interactive dashboards using Excel and Power BI. Skilled in translating complex datasets into actionable business insights through data visualization and descriptive statistics. Pursuing MCA from Lovely Professional University with hands-on project experience in MySQL, PostgreSQL, Pandas, NumPy, and Tableau. Seeking to leverage analytical and problem-solving skills to drive data-driven decision-making as an entry-level Data Analyst.

Skills & Expertise (32)

Descriptive Statistics Intermediate
7.3/10
1
Years Exp
Google Colab Intermediate
7.3/10
1
Years Exp
Jupyter Notebook Intermediate
7.3/10
1
Years Exp
Countifs Intermediate
7.3/10
1
Years Exp
SUMIFS Intermediate
7.3/10
1
Years Exp
Pivot Tables Intermediate
7.3/10
1
Years Exp
VLOOKUP Intermediate
7.3/10
1
Years Exp
Microsoft Excel Intermediate
7.3/10
1
Years Exp
ETL Pipelines Intermediate
7.3/10
1
Years Exp
Data Transformation Intermediate
7.3/10
1
Years Exp
Data Cleaning Intermediate
7.3/10
1
Years Exp
Excel Charts Intermediate
7.3/10
1
Years Exp
Tableau Intermediate
7.3/10
1
Years Exp
Power BI Intermediate
7.3/10
1
Years Exp
A/B testing Intermediate
7.3/10
1
Years Exp
Exploratory data analysis Intermediate
7.3/10
1
Years Exp
Hypothesis Testing Intermediate
7.3/10
1
Years Exp
SQL Intermediate
7.3/10
1
Years Exp
MySql Intermediate
7.3/10
1
Years Exp
Postgresql Intermediate
7.3/10
1
Years Exp
Python Intermediate
7.3/10
1
Years Exp
Pandas Intermediate
7.3/10
1
Years Exp
NumPy Intermediate
7.3/10
1
Years Exp
Matplotlib Intermediate
7.3/10
1
Years Exp
Seaborn Intermediate
7.3/10
1
Years Exp
HLOOKUP Intermediate
6.3/10
1
Years Exp
Git Intermediate
6.3/10
1
Years Exp
GitHub Intermediate
6.3/10
1
Years Exp
VS Code Intermediate
6.3/10
1
Years Exp
IntelliJ IDEA Beginner
4.8/10
1
Years Exp
JDBC Beginner
4.8/10
1
Years Exp
Core Java Beginner
4.8/10
1
Years Exp

Work Experience

E-Commerce Sales Analysis & Forecasting

Personal Project

Jan 2024 - Jan 2024

Analysed an e-commerce dataset of 100,000+ transaction records using Python (Pandas, NumPy) to uncover sales trends, customer behaviour patterns, and seasonal demand fluctuations. Performed end-to-end ETL pipeline: extracted raw CSV data, cleaned 15% missing values and duplicate rows, and transformed data into analysis-ready structured format. Conducted exploratory data analysis (EDA) and descriptive statistics (mean, median, standard deviation, correlation) to identify top 10 revenue-generating product categories contributing 68% of total sales. Built interactive visualisations using Matplotlib and Seaborn — including heatmaps, bar charts, and time-series line plots — reducing insight interpretation time by ~40%. Applied A/B testing to compare conversion rates between two customer segments, identifying a 12% uplift in purchase rate for targeted promotions. Wrote optimised SQL queries with window functions and CTEs to aggregate monthly KPIs including revenue growth, average order value (AOV), and customer retention rate.

Sales Performance Dashboard

Personal Project

Jan 2024 - Jan 2024

Designed and developed an end-to-end interactive sales dashboard in Excel and Power BI to monitor 6 key business KPIs including monthly revenue, sales growth rate, and regional performance. Cleaned and transformed 5,000+ rows of raw transactional data — removing duplicates, standardising formats, and handling null values — reducing data errors by 30%. Automated KPI calculations using VLOOKUP, SUMIFS, COUNTIFS, and Pivot Tables, cutting manual reporting effort by approximately 3 hours per week. Visualised month-over-month revenue trends with dynamic charts, enabling stakeholders to identify a 22% revenue dip in Q3 and recommend corrective actions. Created a Tableau Public dashboard replicating the Power BI report to demonstrate cross-tool data visualization proficiency.

HR Analytics: Employee Attrition EDA

Personal Project

Jan 2024 - Jan 2024

Performed exploratory data analysis on an HR dataset of 1,470 employee records to identify key drivers of attrition using Python (Pandas, Seaborn). Applied hypothesis testing (chi-square test) to validate that job satisfaction and work-life balance scores were statistically significant predictors of employee churn (p-value < 0.05). Produced 12 visualisations including correlation heatmaps, box plots, and distribution plots; identified that employees with <2 years tenure had 3x higher attrition risk. Summarised findings in a structured analysis report with data-driven recommendations, simulating a real-world business analyst deliverable.

Student Data Management System

Academic Project

Jan 2023 - Jan 2023

Built a console-based student records system managing data for 500+ student entries using MySQL and PostgreSQL as relational backends. Wrote advanced SQL queries including joins, subqueries, GROUP BY aggregations, and indexed lookups — reducing average query response time by 35% through indexing optimisation. Implemented full CRUD operations via JDBC, enforcing data integrity constraints and reducing invalid data entries by 25% through server-side validation. Designed normalised relational schema (3NF) with 6 tables, ensuring zero data redundancy across student, course, and enrollment records.

Education

Master of Computer Applications (MCA) - Lovely Professional University

2024 - · Afghanistan

Bachelor of Computer Applications (BCA) - Quantum University

2021 - 2024 · Afghanistan

Certifications

No certifications added yet

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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 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 80/100

Profile Overview

Member sinceMay 2026