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Data with 1+ years in Data Analysis & Automation
Data Analyst with 1.8 years of experience in data analysis, support desk operations, and scripting automation, backed by a Post Graduate in Data Science Engineering from Great Lakes Institute of Management. Prior experience in customer-facing quality analyst and business analyst roles across manufacturing and engineering domains, with strong grounding in data validation, requirement gathering, SOP creation, and process improvement. Hands-on expertise in Python (Pandas, NumPy, BeautifulSoup, PyMongo), SQL, MongoDB Aggregation, and Tableau. Built end-to-end data pipelines reducing manual effort by 70%, delivered EDA-driven insights across operational and demographic datasets, and produced KPI dashboards consumed by cross-functional business teams. Proficient in Supervised and Unsupervised Machine Learning with a proven ability to translate complex data findings into clear, business-ready reports for stakeholders.
Great Lakes Institute of Management
Post Graduate Program · Data Science Engineering
August 1, 2022 – June 30, 2023
Chennai Institute of Technology, Anna University
Bachelor of Engineering
August 1, 2014 – June 30, 2018
Velammal Matriculation Higher Secondary School
HSC & SSLC
N/A – Present
Current Organisation
Data Analyst & Support Desk Analyst
October 1, 2024 – Present
Chennai, Tamil Nadu, India
HVF
Quality & Operations Analyst
November 1, 2020 – November 1, 2021
Chennai, Tamil Nadu, India
Siva Engineering
Customer Quality Analyst
October 1, 2019 – October 1, 2020
Chennai, Tamil Nadu, India
TI Cycles of India
Business Analyst - Quality Operations
September 1, 2018 – September 1, 2019
Chennai, Tamil Nadu, India
Cultural Fit Analysis
The candidate's experience spans various industries (manufacturing, engineering, current organization) and roles (Quality & Operations Analyst, Customer Quality Analyst, Business Analyst - Quality Operations), indicating adaptability. The current role as 'Data Analyst & Support Desk Analyst' aligns with the target 'Data' role, showing a clear career trajectory towards data-centric positions. However, the breadth of projects specifically showcasing diverse data science applications beyond operational analysis is somewhat limited, which could impact cultural fit for a purely research or advanced ML-focused data role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through diagnosing and resolving technical issues, and escalating complex problems with detailed documentation. Collaboration with cross-functional teams and proactive communication of findings indicate good teamwork and stakeholder management abilities. Attention to data integrity and adherence to protocols is also evident.