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Data Science with less than a year in AI Model Training & Data Analytics
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data-driven Computer Science graduate skilled in SQL, Python, Power BI, and business analytics. Experienced in forecasting, KPI reporting, customer analytics, and building data-driven solutions to support business growth and decision-making.
Lovely Professional University
B.Tech · Computer Science
August 1, 2021 – June 30, 2025
Narayana Junior College
Intermediate · MPC
June 1, 2019 – May 31, 2021
Ola Krutrim AI
AI Data Annotator (TTS/STT Systems)
March 1, 2025 – August 1, 2025
Bengaluru, Karnataka, India
InsightAI - Intelligent Data Analytics & ML System
June 24, 2026 – Present
Designed and built an end-to-end machine learning pipeline including data preprocessing, feature engineering, model training, and evaluation on structured datasets. Performed in-depth EDA and statistical analysis to identify patterns, correlations, and key features influencing model performance. Developed and optimized supervised learning models using cross-validation and hyperparameter tuning to improve generalization. Implemented robust data validation and preprocessing workflows to handle missing values, outliers, and inconsistencies. Created modular and scalable ML workflows with integrated visualization dashboards (Power BI/Tableau) to deliver actionable insights.
View ProjectOnline Retail Revenue Forecasting & Deep Data Analysis
June 24, 2026 – Present
Designed and developed an end-to-end data analytics solution on 500K+ transactions aligned with business and reporting requirements. Built Python + SQL pipelines for data extraction, cleaning, validation, and transformation, improving processing efficiency. Performed EDA and trend analysis to identify revenue drivers, seasonal patterns, and customer behavior insights. Developed forecasting models to support business planning and decision-making. Created interactive Power BI dashboards with KPI metrics, translating business requirements into actionable insights. Tools Used: Python, Pandas, Numpy, Matplotlib, Seaborn, MySQL, PowerBI, KPI dashboard.
View ProjectCultural Fit Analysis
The candidate's academic projects demonstrate initiative and a problem-solving mindset, aligning with a data-driven culture. The professional experience, though brief, shows an ability to work within a team and adhere to quality standards. The breadth of skills listed (Python, SQL, ML tools, BI tools) suggests adaptability and a willingness to learn diverse technologies relevant to data science. However, the limited professional experience makes a deep assessment of cultural fit challenging.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate business requirements into actionable insights and collaborate with cross-functional teams. The AI Data Annotator role suggests attention to detail and quality assurance, which are valuable for data-centric roles. However, the short duration of the professional experience limits the assessment of long-term operational fit and sustained collaboration.