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Data Analyst with less than a year in exploratory data analysis, KPI monitoring, and revenue perform
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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 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-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-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 diverse project portfolio, including AI-powered dashboards and automation systems, along with leadership roles, suggests a proactive and innovative mindset. Their experience in both financial solutions and business development indicates adaptability and a broad understanding of business contexts. The focus on quantifiable results (e.g., 30% improved response efficiency, 60% reduced manual effort, Rs. 28L+ incremental revenue) aligns with a results-oriented culture. The blend of technical skills and business acumen makes them a good cultural fit for a role requiring both analytical depth and practical application.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work and professional experience, particularly in identifying workflow inefficiencies and optimizing processes. Their leadership roles suggest good organizational and teamwork capabilities. The ability to translate data into actionable business insights and communicate findings (e.g., pricing recommendations, performance insights) indicates good operational fit for a data-driven role.