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Data Analyst with 1+ years in Python, SQL & Machine Learning
Results-driven Data Analyst and Business Intelligence professional with hands-on expertise in Python, SQL, Power BI, and Tableau. Skilled in building ETL pipelines, developing predictive machine learning models (achieving up to 98% accuracy), and delivering actionable dashboards that drive strategic business decisions. Strong communicator who translates complex data findings for both technical and non-technical stakeholders. MSc in Software Engineering with Advanced Research (University of Hertfordshire, 2025). Seeking roles in Data Analytics, Business Intelligence, or Data Science where analytical insight and ML capabilities can deliver measurable impact.
University of Hertfordshire
MSc · Software Engineering with Advanced Research
N/A – June 30, 2025
Lovely Professional University
BTech · Computer Science and Engineering
N/A – June 30, 2021
Vertocity Pvt Ltd
Data Analyst Intern
September 1, 2021 – February 1, 2022
Noida, Uttar Pradesh, India
Software Requirements Classification Using ML & DL
November 1, 2024 – Present
Designed and developed an end-to-end machine learning pipeline to automate classification of software requirements, applying Gaussian Naïve Bayes, SVM, Decision Tree, and Logistic Regression — achieving 98% classification accuracy. Engineered and evaluated deep learning models (CNNs, RNNs) alongside traditional ML algorithms, reducing manual processing time by 30% through automated classification workflows. Applied performance evaluation metrics including Confusion Matrix, Precision, Recall, Accuracy, and F1-Score; iterative optimization improved overall model performance by 25%. Documented methodology and results in a structured research format, demonstrating strong data science and analytical reporting skills.
Sales Insights Dashboard — Brick & Mortar Business
February 1, 2022 – Present
Designed and deployed an interactive Power BI sales dashboard connected to a SQL database, enabling real-time monitoring of AtliQ Hardware's sales trends across regions and product lines. Developed custom DAX measures and KPIs including revenue trends, profit margins, and quarter-over-quarter growth — projected to increase revenue by 7% in the next quarter. Transformed raw transactional data using SQL queries and Power Query, enabling clean, structured data inputs for accurate BI reporting. Presented dashboard insights to business stakeholders, facilitating data-driven decision-making on inventory, pricing, and regional sales strategy.
The candidate scored 0% on a test for 'Application Developer — Azure Cloud Full Stack', indicating a complete lack of knowledge or experience in this specific domain. This is not aligned with the candidate's stated skills or target role.
Limitations
Cultural Fit Analysis
The candidate's project diversity, ranging from academic machine learning research to practical business intelligence dashboards, indicates adaptability and a broad interest in data-related challenges. The internship experience shows a willingness to engage in real-world business scenarios and client interactions. The target roles listed are well-aligned with the demonstrated skills and experience, suggesting a clear career path and potential for growth within a data-focused team.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through project descriptions, highlighting stakeholder interaction and presentation of findings. Experience in Agile methodology and collaboration with cross-functional teams suggests good operational fit. The ability to document methodologies and results indicates attention to detail and structured thinking.