AI Engineer with less than a year in Data Analytics, BI, and ETL pipelines.
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Assessing your cultural and operational fit
Final-year B.E. AI & Data Science graduate with hands-on experience in campaign analytics, BI dashboard development, ETL pipelines, data quality governance, and stakeholder reporting. Built a banking analytics platform with Airflow, dbt, Great Expectations, Power BI, and XGBoost specifically around bank campaign performance data. Proficient in SQL, Python (Pandas, NumPy), Power BI, Tableau, and GCP BigQuery. Google Cloud Data Analytics Professional certified.
Guru Gobind Singh College of Engineering & Research Centre, Nashik
B.E. · Artificial Intelligence & Data Science
N/A – June 30, 2026
Civora Nexus
AI/ML & Software Engineer Intern
June 1, 2025 – August 1, 2025
Nashik, Maharashtra, India
Netleap IT Training & Solutions
Cloud Computing Intern
January 1, 2025 – February 1, 2025
Nashik, Maharashtra, India
BankLens - Banking Campaign Analytics & Risk Intelligence Platform
June 20, 2026 – Present
• End-to-end governed pipeline: ETL → GCP BigQuery → dbt transformation → Power BI dashboards with KPI tracking • Campaign analytics on UCI Bank Marketing dataset (45K records): customer response rates, channel performance, engagement metrics — directly mirrors HSBC Branch & Retail Banking campaign analytics scope • Great Expectations data quality gates at each stage; Airflow DAGs for weekly orchestration; dbt documentation and tests • XGBoost + SHAP churn model with explainable predictions; automated stakeholder-ready reporting with documented methodology
View ProjectShopping Trend Analysis - Customer Segmentation & Insights
June 20, 2026 – Present
• EDA on 3,900+ transactions; RFM segmentation surfaced 4 buyer cohorts with actionable campaign recommendations • 15+ stakeholder-ready visualisations covering response rates, category performance, and revenue attribution
View ProjectCOVID-19 Global Trend Analysis KPI Reporting Dashboard
June 20, 2026 – Present
• Automated reporting pipeline with rolling averages and growth metrics; interactive Plotly dashboards for KPI tracking
View ProjectTata Steel AI Hackathon - Data Quality & ML Classification
June 20, 2026 – Present
• Feature engineering on 49 variables; data quality assessment and class imbalance resolution via SMOTE • Communicated model performance trade-offs and business-relevant findings to evaluation panel
Google Cloud Data Analytics Professional
Google Cloud
June 1, 2026 – Present
AWS Data Engineering
AWS
June 1, 2026 – Present
AWS Cloud Foundations
AWS
June 1, 2026 – Present
OCI Generative AI Professional
OCI
June 1, 2026 – Present
OCI AI Foundations
OCI
June 1, 2026 – Present
OCI Cloud Infrastructure Foundations
OCI
June 1, 2026 – Present
Deloitte Data Analytics
Forage
June 1, 2026 – Present
Tata Data Visualisation
Forage
June 1, 2026 – Present
Tata GenAI Powered Data Analytics
Forage
June 1, 2026 – Present
Lloyds Banking Group Data Science
Forage
June 1, 2026 – Present
SOAC (Self-Optimizing AI Compiler)
GGSCERC Nashik
June 1, 2026 – Present
Guinness World Records Certificate of Participation
Guinness World Records
June 1, 2026 – Present
OpenAI x NxtWave Buildathon, Maharashtra Regional Round, Pune
OpenAI x NxtWave
January 1, 2026 – Present
Content-Based Movie Recommendation System
IJPREMS Vol. 05 Issue 04
April 1, 2025 – Present
Mumbai Hacks 2025
Unknown
January 1, 2025 – Present
HackWithMumbai 2025
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including banking analytics, customer segmentation, and hackathon participation, indicates a broad interest in applying AI/ML across different domains. Their involvement in multiple hackathons and a patent application suggests a proactive and innovative mindset. The numerous certifications across different cloud providers (GCP, AWS, OCI) and data analytics tools show a strong commitment to continuous learning and skill development, which is a positive cultural fit for a dynamic AI engineering role.
Soft Skills & Operational Fit
The candidate demonstrates an ability to collaborate with cross-functional teams and communicate findings, as noted in their internship descriptions. Their participation in hackathons and a patent-pending project suggests initiative and problem-solving skills. The project descriptions indicate a focus on delivering business-relevant insights and reporting, which aligns with operational needs.