Senior Data Analysis with 4+ years in data mining & business intelligence reporting
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-driven Advanced Data Analyst with 4+ years of experience in data mining, statistical analysis, automation, and business intelligence reporting. Proven ability to analyze large, complex datasets and transform them into actionable insights that support strategic decision-making. Advanced proficiency in Power BI for building intuitive dashboards and executive reports. Strong programming expertise in Python and SQL to develop scalable analytical workflows and robust data solutions. Experienced in cross-functional collaboration, stakeholder communication, and solving real-world business challenges using data.
BTech in Mechanical Engineering
B.Tech · Mechanical Engineering
August 1, 2021 – June 30, 2021
Diploma in Mechanical Engineering
Diploma · Mechanical Engineering
August 1, 2018 – June 30, 2018
eClerx Services Limited
Associate Process Manager
October 1, 2025 – Present
Pune, Maharashtra, India
eClerx Services Limited
Senior Analyst
February 1, 2022 – September 1, 2025
Pune, Maharashtra, India
Maff Carrefour Project
February 1, 2022 – September 1, 2025
Developed web scraping bots for e-commerce websites in Gulf countries using Python libraries such as BeautifulSoup, requests, and lxml HTML parser. Designed scripts to handle GET, POST, HTML, and JSON API responses, ensuring robust data extraction. Implemented multi-threading with concurrent.futures to enhance scraping efficiency. Integrated proxy solutions like ScrapingBee and Syphon to bypass website bot detection. Automated the recrawling of failed inputs to ensure maximum data delivery to the client. Analyzed large-scale e-commerce datasets to identify pricing trends, assortment gaps, and competitive insights using Python and SQL. Performed trend analysis and comparative pricing analytics to support client decision-making strategies. Improved data processing efficiency using multithreading and automation frameworks.
Compliance Management Project
February 1, 2022 – September 1, 2025
Designed automation scripts using Python and Selenium to extract essential compliance data, such as entity names, mergers, business IDs, officer details, and agent details, from structured sources like registries and regulatory websites. Extracted, validated, and analyzed structured and unstructured regulatory data using Python-based automation workflows. Developed SQL-driven analytical queries to support compliance reporting and business intelligence initiatives. Programmatically annotated and highlighted extracted information within PDFs using PyMuPDF, PyPDF2, and ReportLab. Deployed automation scripts in Flask services to enable scalable and efficient data processing. Utilized SQL for seamless data manipulation and retrieval, integrating it with Flask for compliance analysis and reporting. Conducted regular code reviews to ensure adherence to coding standards, improve code quality, and optimize maintainability of automation scripts. Streamlined compliance management processes, achieving enhanced accuracy and efficiency in data retrieval and analysis. Contributed innovative ideas and solutions to enhance team performance and outcomes. Ensured data quality and integrity through validation, cleansing, and governance best practices.
Cultural Fit Analysis
The candidate's project diversity, including e-commerce data analysis and compliance management, shows adaptability. Their experience aligns well with a Senior Data Analysis role, emphasizing data-driven decision-making and automation. The breadth of skills, from web scraping to Power BI, suggests a versatile individual who can contribute across various data initiatives. The focus on improving efficiency and delivering measurable business outcomes indicates a results-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and critical thinking skills, attention to detail, and a commitment to continuous learning. Their experience in cross-functional collaboration and stakeholder communication, as well as contributing innovative ideas, indicates a good operational fit. The promotion to Associate Process Manager and Employee of the Quarter recognition further highlight leadership potential and impact.