Shashi
Kathi
Operations & Analytics
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Impact by Numbers
Real results from real projects
Processes Optimized
Delivering actionable business insights
Automated Pipelines
Reducing operational bottlenecks
Efficiency Gained
In reporting & operational workflows
Team Members Managed
Led onboarding & cross-functional coordination
About Me
I am an Operations & Analytics professional who bridges the gap between raw data, people, and strategic decisions. My passion lies in solving complex operational bottlenecks—whether it's optimizing resource allocation or building AI-driven process automation—to drive measurable efficiency and growth.
Beyond just technical skills in Python, SQL, and Power BI, I bring a focus on clarity, accuracy, and impact. I hold a strong foundation in cloud-based ML workflows and experience with AI-driven analytics.
My goal is not just to analyze data, but to translate it into actionable business insights that enhance forecasting, optimize operations, and empower stakeholders to make confident decisions.
Tools & Technologies
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Technical Skills
Languages & Libraries
Python (Pandas, NumPy, Scikit-learn), SQL, R
Data Visualization
Power BI, Tableau, Looker Studio, Matplotlib, Seaborn
Cloud & AI
Azure AI, GCP Vertex AI, Oracle Cloud, OpenAI APIs
Data Engineering
ETL Pipelines, Data Cleaning, Predictive Modeling
Experience
Operations Associate
Bhanzu
Apr 2026 – Present
- Spearheading data-driven operational strategies, bridging the gap between business objectives and cross-functional execution pipelines.
- Monitoring and analyzing key operational metrics to streamline workflows, optimize resource allocation, and enhance reporting efficiency.
- Collaborating across teams to identify process bottlenecks, implementing automated solutions to maintain high data hygiene and accelerate task delivery.
Data Science Research Intern
TransOrg Analytics | Remote
Jan 2025 – June 2025
- Built scalable Python/SQL ETL pipelines processing 10,000+ records, accelerating operational reporting speed by 30%.
- Engineered Machine Learning models for churn prediction and fraud detection, delivering actionable predictive insights.
- Executed comprehensive Exploratory Data Analysis (EDA) and data cleaning, enhancing data quality for downstream processes.
- Designed dynamic performance dashboards using Power BI and Looker Studio to visualize KPIs for stakeholder decision-making.
Senior Coordinator
OASIS Student Organization | Punjab, India
Apr 2023 – Mar 2024
- Directed a cross-functional team of 15 members to successfully execute 10+ events for 500+ participants, achieving 100% on-time delivery.
- Managed vendor coordination, logistics, and internal protocols, improving overall operational efficiency by 25%.
- Led team onboarding and induction, accelerating ramp-up time via standardized role assignments and Standard Operating Procedures (SOPs).
Education
Bachelor of Technology (Honors)
Lovely Professional University, Punjab
Aug 2021 – Aug 2025
Computer Science, Data Science & Data Engineering
Awarded 50% merit scholarship (AIR under 500)
Certifications
McKinsey Forward Program | McKinsey & Company
Oracle Cloud Infrastructure 2025 Data Science Professional | Oracle
Looker Studio Certification | Google
Google Cloud: Introduction to Data Analytics | Google
Selected Work
Real-world projects with measurable impact
IBM HR Analytics — Employee Attrition Intelligence Dashboard
Problem: Identify workforce attrition patterns and quantify cost impacts.
Solution: Interactive Power BI dashboard analyzing 1,470 employee records.
Outcome: Delivered 8 HR retention recommendations saving $6.8M–$27.2M annually.
Financial Fraud Detection
Problem: Financial fraud incidents require high-precision real-time detection models.
Solution: Built a robust Machine Learning model using XGBoost to classify fraudulent transactions.
Outcome: Achieved high precision and recall on heavily imbalanced datasets.
Customer Churn Prediction
Problem: High customer turnover reduces revenue and profitability.
Solution: Predictive pipeline with XGBoost, SMOTE balancing, and live Hugging Face deployment.
Outcome: Identified at-risk customers with >85% accuracy for proactive retention.
Let's Work
Together
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.