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Data Science with 1+ years in Data Analytics, ML, & ETL pipelines.
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Assessing your cultural and operational fit
Highly motivated Data Science professional with 1.0 years of experience in data analytics, machine learning, and ETL pipeline development. Proven ability to leverage Python, SQL, and various data science tools to architect robust data solutions, build predictive models, and create interactive BI dashboards. Experienced in geospatial data processing for ML, predictive maintenance analytics, and end-to-end voice AI system development. Seeking to apply strong analytical and engineering skills to drive data-driven innovation.
Shri Ramdeobaba College of Engineering and Management
B.Tech · Electrical Engineering
November 1, 2021 – May 1, 2025
Shri Ramdeobaba College of Engineering and Management
Minor Degree · Data Science
November 1, 2021 – May 1, 2025
Dharampeth M.P. Deo Memorial Science College
Higher Secondary
June 1, 2018 – May 1, 2020
State Board
Secondary School
May 1, 2018 – May 1, 2018
Reliance Industries Limited (RIL)
Graduate Engineer Trainee - Data Analytics & Operations
August 1, 2025 – Present
Ahmedabad, Gujarat, India
Attentive AI
Data Analyst - Geospatial Intelligence
December 1, 2024 – May 1, 2025
India
Solar PV Degradation Monitoring
June 1, 2026 – Present
• Built real-time ML pipeline detecting solar panel degradation early. Deployed Streamlit dashboard reducing manual monitoring by 80%; secured government MSME certification and startup funding.
View ProjectE-Commerce Sales Analytics & BI Dashboard
June 1, 2026 – Present
• Engineered Python data pipeline with profiling, null resolution, and schema standardization. Developed advanced SQL aggregations for KPIs. Delivered Power BI dashboard with DAX enabling real-time sales monitoring and strategic decision-making.
View ProjectCredit Risk Prediction Engine
June 1, 2026 – Present
• Developed production ML classifier automating credit risk assessment. Applied feature engineering with Pandas, resolved class imbalance, and achieved enterprise-ready performance (Accuracy, Precision, Recall, AUC-ROC) for risk scoring automation.
View ProjectVoice AI Personal Assistant (JARVIS)
June 1, 2026 – Present
• Built end-to-end voice AI system: Google STT (SpeechRecognition) → LLaMA 3.1 (Groq API) → offline TTS (pyttsx3). Implemented conversation memory, NLP intent parsing, custom Streamlit UI. Deployed on Streamlit Cloud with GitHub version control; demonstrates full-stack Python development.
View ProjectSelf-Serve Analytics Platform
June 1, 2026 – Present
• Created Streamlit app enabling non-technical users to independently query datasets: CSV upload, SQL builder, Matplotlib/Plotly visualization, export. Reduced ad-hoc queries and accelerated business decision-making.
View ProjectGoogle Data Analytics Certification
June 1, 2026 – Present
Databases and SQL for Data Science with Python
IBM
June 1, 2026 – Present
Data Analytics Essentials
Cisco
June 1, 2026 – Present
Data Analytics Fundamentals
L&T Technology Services
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a data science role through a diverse portfolio of projects spanning e-commerce analytics, AI assistants, credit risk, and IoT monitoring. Their academic background with a minor in Data Science, coupled with practical experience and certifications, aligns well with a data-driven culture. The involvement in extracurricular activities and leadership roles suggests a proactive, collaborative, and adaptable individual. The focus on building practical solutions and deploying them (e.g., Streamlit apps) indicates a results-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions and activities suggest strong problem-solving skills, evidenced by tackling complex challenges like credit risk prediction and real-time degradation monitoring. The 'Voice AI Personal Assistant' project highlights innovation and full-stack development capabilities. Participation in cultural and innovation activities indicates teamwork, leadership, and communication skills, which are beneficial for operational fit. The experience at Reliance Industries Limited and Attentive AI shows an ability to work in structured environments and contribute to large-scale data initiatives.