Data Analyst with 2+ years in business analytics & data analysis
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 with 2 years of experience in business analytics, operational reporting, and process automation in fast-paced environments. Skilled in SQL, Python, Excel, Tableau/Power BI, and large-scale data analysis for generating actionable insights and improving operational efficiency. Experienced in solving business problems through data-driven analysis, dashboarding, root-cause analysis, and workflow automation while collaborating with cross-functional global teams.
GL Bajaj Institute of Technology and Management
Bachelor of Engineering · Computer Science
August 1, 2019 – June 1, 2023
Physics Wallah
Associate Manager (Analyst)
April 1, 2025 – Present
Noida, Uttar Pradesh, India
Cyclotron Inc
Analyst
September 1, 2023 – March 1, 2025
India
Machine Learning Classification Project
June 1, 2026 – June 1, 2026
Built classification models using Logistic Regression, Decision Trees, and Random Forest algorithms. Achieved a 2% accuracy gain with optimized decision tree and ensemble approaches.
HackerRank SQL
HackerRank
June 1, 2026 – Present
JPMorgan Chase Virtual Experience Program
JPMorgan Chase
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across two companies, including a remote role, suggests adaptability. Their involvement in a personal machine learning project indicates initiative and a continuous learning mindset. The breadth of skills listed (SQL, Python, Excel, Tableau, Power BI, Git, Hive/Hadoop understanding) and experience in both business analytics and operational reporting align well with a data-driven culture. The certifications also show a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and attention to detail through their experience in root-cause analysis and process optimization. Their collaboration with cross-functional teams and global stakeholders indicates good teamwork and communication skills, which are crucial for operational fit. The automation of reporting tasks also highlights an efficiency-driven mindset.