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Data Analyst with less than a year in Data Analysis & Machine Learning
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Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in Excel, SQL, Python, R, Power BI, and Tableau. Skilled at collecting, cleaning, and interpreting data to build reports and dashboards that surface trends and support business decisions. Built end-to-end analytics projects spanning data cleaning, feature engineering, segmentation, visualization, and model evaluation. Strong communicator comfortable presenting findings to stakeholders and collaborating across teams to improve data accuracy and business performance.
CMR Engineering College
B.Tech · Artificial Intelligence and Machine Learning
September 1, 2020 – September 1, 2024
Hospital Readmission Risk Predictor
June 23, 2026 – Present
Built a predictive analytics project estimating 30-day patient readmission risk from demographic and clinical data. Owned the analysis pipeline end-to-end: data collection, normalization, feature creation, model evaluation, and reporting of actionable, risk-based recommendations. Applied structured analytical thinking to convert raw, complex datasets into clear outputs for decision-making.
View ProjectCustomer Segmentation Analysis
June 23, 2026 – Present
Built an RFM (Recency, Frequency, Monetary) segmentation model using Python and Tableau to identify high-value customer groups and support targeted, data-driven sales strategies. Analyzed customer attributes — geography, age, gender, and spending behavior — to surface trends and improve marketing insights and business targeting. Translated analytical findings into clear, business-friendly recommendations, identifying an estimated 15% sales improvement opportunity.
View ProjectDetection of Liver Cancer Using Image Processing Techniques
June 23, 2026 – Present
Contributed to a web-based project using Python and image processing/ML techniques (Otsu thresholding, watershed algorithm) to detect liver abnormalities. Coordinated testing, documentation, and team collaboration, and supported presentation and publication with JETIR.
View ProjectCertified in Java Language
Spoken Tutorial Project, IIT Bombay
June 1, 2026 – Present
Professional Training Certification in Data Analytics
V Cube Software Solutions
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interests, from customer segmentation to healthcare and image processing, indicating adaptability and a willingness to explore diverse problem domains. The certifications in Java and Data Analytics show initiative for continuous learning. However, all projects are academic, and there is no professional experience, which might impact immediate cultural integration into a fast-paced industry environment. The target role of Data Analyst aligns well with the skills and project experience, but the lack of real-world team experience could be a factor.
Soft Skills & Operational Fit
The candidate's psychometric test score (172/500) suggests potential areas for development in logical reasoning, work attitude, stress handling, and team collaboration. While project descriptions mention collaboration and communication, the low psychometric score indicates these might not be fully developed or consistently applied in high-pressure scenarios. The English test score (57/100) also points to a need for improved communication clarity and professional language usage, which is crucial for a Data Analyst presenting findings.