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Data Analyst with 2+ years in Supply Chain Analytics & E-commerce
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Detail-oriented data analyst with over two years of experience in automotive manufacturing, semiconductor supply chain, and e-commerce. Specializes in supply chain analytics, demand planning, KPI dashboard development, and root cause analysis. Leverages Python, SQL, Power BI, Tableau, and advanced Excel to convert complex datasets into actionable insights that improve operational efficiency and facilitate strategic decision-making.
Mooljee Jaitha College
MASTER OF SCIENCE · STATISTICS
N/A – June 30, 2023
Mooljee Jaitha College
BACHELOR OF SCIENCE · STATISTICS
N/A – June 30, 2019
ETHOS HR
Data Analyst
May 1, 2024 – Present
Pune, Maharashtra, India
PELICANO.BIZ
Data Analyst
June 1, 2022 – August 31, 2023
India
Demography Study of Jalgaon City
June 21, 2026 – Present
Computed key demographic metrics: Gross Reproduction Rate (GRR), Crude Birth Rate (CBR), Crude Death Rate (CDR), and Age-Specific Mortality Rate. Applied advanced statistical methods to derive population trends and present findings in structured academic reports.
Statistical Analysis of IPL Dataset
June 21, 2026 – Present
Performed end-to-end exploratory data analysis on IPL match data using Python (Pandas, NumPy, Matplotlib, Seaborn). Identified performance trends, player impact metrics, and win probability factors using statistical modeling techniques.
Cultural Fit Analysis
The candidate's experience spans automotive manufacturing, semiconductor supply chain, and e-commerce, indicating adaptability to different industry contexts. Their academic projects show initiative and a strong foundation in statistical analysis. The role as a Data Analyst aligns perfectly with the target role, and the breadth of skills (Python, SQL, Power BI, Tableau, statistical modeling, demand forecasting) suggests a versatile and valuable team member. The focus on data-driven decision-making and operational efficiency aligns well with a performance-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through root cause analysis and impact simulations. Their experience in collaborating with various teams (procurement, planning, logistics, engineering, marketing, product) indicates good teamwork and communication. The ability to automate tasks and improve efficiency suggests a proactive and results-oriented work attitude. The detailed descriptions of project impacts (e.g., 60% reduction in manual effort, 30% reduction in production line stoppage risk) highlight a focus on operational improvement and business value.