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Data Analyst with less than a year in data analytics lifecycle & machine learning
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Assessing your cultural and operational fit
Results-driven Computer Science graduate (2026, CGPA: 8.0/10) with end-to-end hands-on experience across the data analytics lifecycle - data collection, cleaning, exploratory data analysis (EDA), visualisation, dashboard design, and automated reporting. Proficient in Python, SQL, and MS Excel (Advanced), with foundational Power BI skills and practical exposure to machine learning. Completed the Deloitte Data Analytics Job Simulation on Forage. Proven ability to translate raw data into clear, actionable insights for both technical and business stakeholders. A self-motivated, detail-oriented analyst with strong communication skills and the discipline to deliver high-quality outputs independently in a remote environment.
K.L.N College of Engineering
Bachelor of Engineering · Computer Science
August 1, 2022 – June 30, 2026
Detection of Synthetic Speech using AI
January 1, 2025 – June 1, 2026
Built an end-to-end data pipeline for unstructured audio datasets - extracted and engineered structured features (MFCC), cleaned and validated inputs, and maintained data quality throughout all processing stages. Performed EDA on feature distributions to identify patterns distinguishing synthetic from real speech; iteratively improved data preparation based on analytical findings, boosting model performance. Designed Excel performance dashboards tracking accuracy KPIs weekly; produced structured analytical insight reports with clear recommendations - demonstrating full data analytics delivery from raw data to business insight.
Crop Sense - IoT Smart Irrigation System
January 1, 2024 – June 1, 2026
Collected and analysed real-time sensor data streams (soil moisture, temperature, humidity); identified operational trends and delivered actionable insights through structured reports - hands-on experience with live, multi-source data environments.
Smart Traffic Prediction System using Machine Learning
January 1, 2024 – June 1, 2026
Collected and cleaned large structured real-world datasets from multiple sources - handled missing values, removed inconsistencies, and validated data integrity to ensure analysis-ready inputs. Conducted comprehensive EDA using pandas and matplotlib: identified key trends, seasonal patterns, and performance anomalies across time-series traffic data; translated findings into stakeholder-ready visualisations. Built and evaluated ML classification and regression models using scikit-learn; performed feature engineering and hyperparameter tuning, achieving measurable accuracy improvements over baseline models. Designed Excel KPI dashboards with dynamic pivot charts; automated weekly and monthly reporting pipelines using Python scripts - reducing manual effort and ensuring consistent, accurate outputs.
Inter-Level Hackathon
Unknown
January 1, 2025 – Present
Deloitte Data Analytics Job Simulation
Forage
January 1, 2024 – Present
Smart India Hackathon 2024
Unknown
January 1, 2024 – Present
Mr. English 2023
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a diverse application of data analytics skills across different domains (IoT, traffic prediction, speech detection), indicating adaptability and a broad interest in problem-solving. Participation in hackathons (Inter-Level Hackathon, Smart India Hackathon) highlights a competitive spirit, collaborative mindset, and ability to perform under pressure. The 'continuously expanding skills' statement reflects a growth mindset, which aligns well with dynamic, innovation-driven cultures. The focus on delivering actionable insights and stakeholder-ready visualizations suggests a business-oriented approach.
Soft Skills & Operational Fit
The candidate demonstrates strong self-direction, time management, and a proactive approach to learning, as evidenced by their academic projects and continuous skill expansion. Their experience in coordinating cross-functional teams during a hackathon suggests good collaboration potential. The 'Mr. English 2023' title indicates strong written and verbal communication skills, crucial for data storytelling. The candidate also states they are '100% remote-ready', which is a positive for operational fit in flexible work environments.