Diabetes Prediction Model
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Summary
Developed and evaluated classification models to predict diabetes risk using healthcare data, focusing on optimal performance and robust validation.
Highly analytical Machine Learning-focused Data Scientist with proven experience in developing and optimizing ML and NLP-driven solutions for complex business challenges. Proficient in Python, Scikit-learn, and SQL, I excel at transforming intricate datasets into actionable insights, driving strategic business decision-making and enhancing operational efficiency. My expertise spans data preprocessing, feature engineering, model development, and performance evaluation, consistently delivering impactful results across diverse applications.
Machine Learning Intern
Remote, N/A, N/A
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Summary
Orchestrated the development and optimization of machine learning and NLP-driven solutions, translating complex data into actionable insights for business applications.
Highlights
Engineered a sales forecasting model using historical time-series data and advanced lag features, significantly improving prediction accuracy for demand planning.
Developed an NLP-based support ticket classification system, implementing text preprocessing and vectorization techniques to automate issue categorization.
Designed a resume screening system utilizing TF-IDF vectorization and cosine similarity to rank candidates based on semantic relevance to job descriptions.
Built end-to-end machine learning pipelines, encompassing data cleaning, feature engineering, model training, validation, and evaluation for robust deployment.
Conducted comprehensive model performance assessments, employing appropriate evaluation metrics and iterative refinement to optimize solution effectiveness.
Data Analyst
Remote, N/A, N/A
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Summary
Executed data analysis and visualization initiatives to monitor key performance indicators, identify trends in customer behavior, and streamline reporting workflows.
Highlights
Developed interactive dashboards using Power BI and Tableau to track key performance indicators (KPIs) and business performance metrics, enhancing data accessibility for stakeholders.
Performed exploratory data analysis on telemarketing datasets, identifying critical patterns in customer behavior, conversion rates, and engagement trends to inform strategic decisions.
Integrated and transformed multi-source datasets using SQL, ensuring data consistency and readiness for robust analysis and reporting.
Applied data segmentation techniques to optimize targeting strategies and campaign performance, leading to more effective marketing initiatives.
Streamlined reporting workflows, significantly improving efficiency in data processing and insight generation for timely business intelligence.
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B.Sc.
Mathematics and Statistics (Applied Mathematics)
Issued By
DataCamp
Issued By
DataCamp
Issued By
3MTT/DeepTech
Issued By
Seedbuilders Innovation Hub
Issued By
Python, SQL.
Scikit-learn, Model Selection, Hyperparameter Tuning (GridSearchCV), Feature Engineering, Model Evaluation.
TF-IDF, Text Vectorization, Cosine Similarity, Tokenization, Text Cleaning.
Pandas, Matplotlib, Power BI, Tableau, Advanced Excel.
WEKA, Jupyter Notebook.
Statistical Analysis, Predictive Modeling, Data Pipelines, Business Intelligence.
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Summary
Developed and evaluated classification models to predict diabetes risk using healthcare data, focusing on optimal performance and robust validation.
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Summary
Developed and assessed predictive models for early detection of kidney cancer using patient datasets, applying advanced data science techniques.
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Summary
Completed a simulation focusing on the critical role of data science in British Airways' success and customer behavior analysis.
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Summary
Completed a customer churn analysis simulation for XYZ Analytics, demonstrating advanced data analytics skills and strategic investigation.
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Summary
Participated in a job simulation focused on empowering business with effective insights through data visualization for Tata Consultancy Services.
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Summary
Completed a job simulation focused on customer churn prediction for the Data Science & Analytics team at Lloyds Banking Group.
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Summary
Participated in a job simulation advising a hypothetical social media client as a Data Analyst at Deloitte, focusing on data analytics.
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Summary
Engaged in a job simulation advising a hypothetical social media client as a Data Analyst at Accenture, focusing on data analytics and visualization.