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Data Analyst with less than a year in AI/ML & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech graduate in Artificial Intelligence & Machine Learning (CGPA: 8.43) with strong skills in SQL, Excel, Power BI, Python, and Data Analytics. Hands-on experience building analytical dashboards, performing SQL-based business analysis, and developing machine learning solutions. Skilled in data cleaning, visualization, reporting, KPI tracking, and deriving actionable insights from data. Seeking a Data Analyst role where analytical and problem-solving skills can contribute to business growth.
Dadi Institute of Engineering and Technology
B.Tech · Artificial Intelligence and Machine Learning
August 1, 2021 – June 30, 2025
DataValley
Full Stack Development Intern
May 1, 2024 – July 1, 2024
India
AICTE
AI-ML Virtual Intern
December 1, 2022 – February 1, 2023
India
Superstore SQL Analytics
June 19, 2026 – Present
Developed advanced SQL queries using joins, aggregations and window functions on 10,000+ retail records. Identified top-performing customer segments and regional revenue trends for business decision-making. Performed time-series analysis to uncover seasonal sales patterns.
Blinklt Sales Performance Dashboard
June 19, 2026 – Present
Built interactive Power BI dashboards tracking 5+ business KPIs in real time. Applied DAX and Power Query transformations to improve reporting accuracy. Generated insights on high-revenue product categories and sales performance.
Heart Disease Prediction System
June 19, 2026 – Present
Trained and evaluated KNN, SVM, Random Forest and Logistic Regression models. Achieved approximately 87% prediction accuracy through preprocessing and tuning. Compared precision, recall and F1-score metrics for model selection.
Intro to Machine Learning
Kaggle
January 1, 2026 – January 1, 2026
Python (Basic)
HackerRank
January 1, 2026 – Present
SQL (Basic)
HackerRank
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse data analysis and machine learning techniques. The internship experiences, including a full-stack role, show adaptability and a willingness to explore different technical areas, which can be a positive for cultural fit in dynamic environments. The focus on problem-solving and deriving business insights aligns well with a data-driven culture. However, the lack of non-academic or team-based projects limits the assessment of collaboration and initiative beyond structured environments.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, communication, attention to detail, and team collaboration as soft skills. Project descriptions indicate collaboration in Agile teams and a focus on deriving actionable insights, which aligns with operational needs for a Data Analyst. However, without specific examples or interview data, the depth of these soft skills cannot be fully assessed.