About
Aspiring Data Scientist and AI/ML Engineer with hands-on experience in developing and deploying scalable solutions across NLP, recommendation systems, and real-time analytics. Proficient in Python, SQL, Power BI, TensorFlow, Flask, and Scikit-learn, with a proven track record of reducing latency by 40%, boosting productivity by 20%, and improving data quality by 25%. Eager to leverage strong analytical, technical, and collaborative skills to drive data-driven innovation and enhance stakeholder decision-making.
Work
Mumbai, Maharashtra, India
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Summary
Participated in a rigorous skill development program, applying Power BI, DAX, and SQL expertise to simulate real-world business intelligence scenarios.
Highlights
Achieved a 95% final score in comprehensive Power BI, DAX, and SQL training, demonstrating rapid skill acquisition and analytical proficiency.
Developed dashboards simulating executive-level business reporting use cases, translating complex data into actionable insights for strategic decision-makers.
Designed and implemented key performance indicators (KPIs) and data visualizations that supported informed marketing budget allocation decisions.
Mumbai, Maharashtra, India
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Summary
Executed comprehensive data analysis, modeling, and visualization tasks to improve data quality and provide actionable insights for marketing teams.
Highlights
Cleaned and modeled over 1 million records using Python and SQL, leading to a 25% improvement in data quality.
Constructed 5 interactive Power BI dashboards to track key performance indicators (KPIs) for marketing teams, enhancing real-time visibility and strategic decision-making.
Optimized complex SQL queries and report logic, effectively reducing dashboard generation time by 30%.
Mumbai, Maharashtra, India
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Summary
Developed and deployed AI-powered solutions to enhance business processes and improve operational efficiency for a cloud services provider.
Highlights
Developed and deployed an NLP chatbot using Flask and Scikit-learn, successfully reducing customer support latency by 40%.
Engineered automation tools for repetitive workflows, significantly boosting internal productivity by 20%.
Collaborated with cross-functional engineering teams to build a supply chain AI application, which reduced turnaround time by 15%.
Languages
English
Skills
Languages/Tools
Python, Pandas, NumPy, Scikit-learn, SQL, MySQL, PostgreSQL, Flask, Gradio.
ML/DL
Regression, Classification, Clustering, TensorFlow, Keras, Model Deployment, Collaborative Filtering, GAN, VAE, NLP.
Data Visualization
Power BI, Tableau, Matplotlib, Seaborn.
Cloud Platforms
AWS, Azure.
Data Engineering
ETL Pipelines, Flask APIs, Data Wrangling.
Soft Skills
Critical thinking, Deadline-driven execution, Adaptability, Cross-functional collaboration, Stakeholder communication.