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Data Science and Business Analytics enthusiast. Interested in Quantum Mechanics, Sustainability, Liberal Arts, Social Innovation, Music and Life.
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EY
Data Scientist
June 16, 2026 – Present
qids-framework
May 9, 2026 – Present
A civilization-scale human development framework for the AI era, featuring a futuristic, cinematic, and emotionally compelling design with interactive sections and animations. · Built with Manus
View ProjectHandwriting-Analysis-for-Early-Alzheimer-s-Disease-Prediction
March 31, 2024 – March 31, 2024
Utilizing machine learning on the DARWIN dataset, we predict early Alzheimer's disease through handwriting analysis. XGBoost model achieves 91% accuracy, showcasing handwriting's potential as a non-invasive diagnostic tool. Future work includes exploring advanced models for enhanced prediction.
View ProjectNLP
June 3, 2020 – June 3, 2020
Here I have tried with four different applications of Natural Language Processing. Those are- Spam Classification, Sentiment Analysis, WordCloud and Customer Segmentation. I applied K-Means and Hierarchical clustering in creating Descriptive Unsupervised analysis. I developed WordCloud on spam dataset using python. I built Sentiment Analysis model using two different approaches: Traditional Machine Learning and Deep Learning. Using Keras and deep learning pipeline I achieved 87.93% accuracy. Soon, I will be uploading spam classification problem using traditional machine learning and deep learning-LSTM approach.
View ProjectCustomer-Churn-Prediction--Binary-Classification-Problem
May 23, 2020 – May 23, 2020
Churn prediction is one of the most well known applications of machine learning and data science in the Customer Relationship Management (CRM) and Marketing fields. Simply put, a churner is a user or customer that stops using a company’s products or services. Churn applications are common in several sectors: Subscription business companies (think internet and telephone services providers): customers that are most likely to churn at the end of their subscription are contacted by a call center and offered a discount. E-commerce companies (think Amazon and the like): automatic e-mails are sent to customers that haven’t bought anything for a long time, but may respond to a promotional offer.
View ProjectCultural Fit Analysis
The candidate's projects show a mix of data science and web development, indicating a broad interest. While the data science projects align with the target role, the significant number of front-end development projects (TypeScript, HTML, CSS, JavaScript) suggests a potentially broader career interest or a lack of focused specialization for a senior Data Scientist role. The current experience at EY as a Data Scientist is a strong positive for cultural fit, but the lack of detail on responsibilities makes it hard to fully assess alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to articulate technical concepts, but there is no direct assessment of collaboration, problem-solving under pressure, or communication in a team setting.