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Data Analyst with less than a year in EDA, KPI monitoring, and revenue analysis using SQL, Python, a
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Assessing your cultural and operational fit
A B-Tech Graduate with hands-on experience in exploratory data analysis (EDA), KPI monitoring, funnel analytics, and revenue performance analysis using SQL, Python (Pandas, NumPy), Excel, and Power BI. Skilled in data cleaning, transformation, and visualization to deliver actionable business insights – reduced manual reporting effort by 60% through workflow automation and drove Rs. 28L+ in incremental revenue via pricing and conversion analytics.
Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded
B.Tech · Electrical Engineering
August 1, 2022 – June 30, 2026
Vidhya Bharti Mahavidyalaya, Amravati
Senior Secondary · Electronics
June 1, 2019 – May 31, 2021
Sarla Ram Kakani Education Academy
Secondary School
June 1, 2018 – May 31, 2019
AxT Financial Solutions (AbhishekXTrades)
Growth & Revenue Analyst
December 1, 2025 – Present
India
ThePetNest
Business Development Intern
November 1, 2024 – January 31, 2025
India
AI-Augmented Market News & Research Automation System
June 17, 2026 – Present
Designed a multi-source financial data aggregation pipeline enabling structured reporting and analysis. Implemented prioritization logic to surface high-impact market signals for analytical decision support. Reduced manual research effort by ~60% through scheduled summary generation pipelines.
AI Data Analyst Dashboard
June 17, 2026 – Present
Developed an interactive analytics dashboard enabling self-serve EDA, data cleaning, and statistical analysis on user-uploaded datasets. Implemented LLM-powered insight generation, dataset chat interface, and one-click report generation. Built robust correlation analysis and hypothesis testing modules, enabling the identification of key market signals across 15+ data fields and informing strategic decisions.
AI-Based Fault Detection & Prediction System
June 17, 2026 – Present
Processed and modeled 10,000+ structured data points for predictive classification. Performed EDA and feature engineering to identify key predictive variables; achieved 90%+ model accuracy through cross-validation and iterative optimization.
Cultural Fit Analysis
The candidate's project diversity, ranging from financial market analysis to fault detection and general data analytics dashboards, indicates a broad interest in applying data science across different domains. Their experience as a Growth & Revenue Analyst aligns well with roles requiring a business-oriented data analyst. The leadership roles in academic settings suggest a proactive and engaged individual. However, the experience is relatively short, and the target role is 'Data Analyst' while their current role is 'Growth & Revenue Analyst', which has some overlap but also distinct focuses. The candidate is still pursuing their B.Tech, which might indicate a junior-to-mid-level cultural fit rather than a senior one, despite the advanced project descriptions.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving skills, and a results-oriented approach, as evidenced by their ability to identify inefficiencies, optimize processes, and drive revenue. Their project work indicates initiative and a capacity for independent development. The leadership roles suggest organizational and team management potential, which are valuable for operational fit.