Data Analyst with 2+ years in Python, SQL & Data Modeling
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 building scalable, efficient data models in fast-paced tech environments. Proficient in Python, SQL, and big data technologies such as PySpark, with hands-on experience in designing and optimizing ETL workflows and dimensional modeling. Designed and improved data processes that reduced manual effort and speed up data availability by up to 30%, supporting faster reporting and analytics. Experienced in data modeling and warehouse structures used for day-to-day business insights. Known for working closely with teams to solve issues quickly and deliver accurate data for decision-making.
Karpagam College of Engineering
Bachelor of Engineering
January 1, 2018 – January 1, 2022
Genpact
Data Analyst
December 1, 2023 – November 1, 2025
Bengaluru, Karnataka, India
Python Guide in Programming Language
Unknown
June 1, 2026 – Present
SQL and Relational Database
IBM
June 1, 2026 – Present
Data Vault
Unknown
June 1, 2026 – Present
Data Visualization with Power BI
Coursera
January 1, 2026 – April 1, 2026
Cultural Fit Analysis
The candidate's experience at Genpact, a large consulting and processing firm, suggests adaptability to diverse project requirements and client environments. The breadth of skills listed (Python, SQL, various databases, big data technologies, cloud platforms) indicates a willingness to learn and apply different tools, which is positive for cultural fit in dynamic tech environments. The focus on improving data availability and supporting business insights aligns well with a data-driven culture. The lack of diverse project types beyond a single employer's description makes it difficult to fully assess cultural fit across varied organizational structures.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with cross-functional teams and engaging with clients to understand needs, indicating good teamwork and client-facing communication skills. The experience in troubleshooting and root cause analysis suggests problem-solving abilities and a proactive approach to maintaining data quality. The mention of reducing manual effort and speeding up data availability by up to 30% demonstrates an efficiency-oriented mindset.