Data Analyst with 2+ years in SQL, Python, Tableau, and AI for sales performance optimization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst & Sales Performance Specialist with a B.Tech in Computer Science and IBM Professional Certification. 2+ years of experience leveraging SQL (CTES, Window Functions), Python (Pandas), and Tableau to transform raw sales data into actionable business strategies. Proven track record of improving sell-through by 18% through data-driven inventory optimization for global brands like LG and ASUS. Skilled in bridging the gap between technical data analysis and real-world business growth using AI-augmented workflows to accelerate data delivery.
Jaipur Engineering College
Bachelor of Technology · Computer Science
August 1, 2016 – June 30, 2021
LG Electronics
Sales & Data Analyst
January 1, 2025 – Present
Abu Dhabi, United Arab Emirates
ASUS (Shooting Star)
Sales & Data Analyst
January 1, 2024 – December 1, 2024
Dubai, Dubai, United Arab Emirates
IBM HR Analytics Employee Attrition & Performance
June 1, 2026 – Present
Analyzed 1500+ employee records performance and attrition using the IBM HR Analytics dataset to uncover patterns affecting retention. Extracted and queried employee data using SQL (MySQL Workbench) to analyze attrition trends and workforce patterns. Performed data cleaning and preprocessing in Python (Pandas), including handling missing values and validating data consistency. Conducted exploratory data analysis using SQL aggregations and correlation analysis in Python. Generated summary reports and visual charts to make complex data easy to understand for managers and decision-makers. Built an interactive Tableau dashboard to visualize attrition patterns and department-level insights for decision-making.
Amazon Laptop Data Scraping using Python (Selenium & BeautifulSoup)
June 1, 2026 – Present
Collected laptop listing data from Amazon.ae using Python to enable offline data extraction. Browsed multiple pages using Selenium and managed dynamic web content on a JavaScript-based website. Saved web pages locally so data could be extracted later without reloading the site. Extracted product details from saved pages using BeautifulSoup. Organized the collected data into files for further analysis and reporting.
IBM Data Analyst Professional Certification
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including HR analytics and web scraping, alongside sales-focused professional roles, indicates a broad interest in data applications. Their experience with global brands like LG and ASUS, and openness to relocation, suggests adaptability. The IBM Data Analyst Professional Certification further aligns with a data-driven culture. The blend of technical and business skills makes them a good fit for roles requiring both analytical depth and practical business impact.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work and professional experience, identifying key revenue drivers and optimizing inventory. Their ability to communicate complex data through dashboards indicates good communication skills. The use of AI for automation suggests an adaptive and efficient work attitude. Attention to detail is implied by the data cleaning and analysis tasks performed.