Karthik Kandimalla profile photo 1 on Tal

Karthik Kandimalla

Data Scientist & AI Engineer | RAG Pipelines | LLMs | Python | SQL | Power BI | MS Data Science @ UNH | Open to Work in USA

Greater Hartford

2+ years of work experience

Kapital Information Technologies Private Limited
Jul 20246 mosDec 2024

Banglore

• Engineered and maintained 5+ Power BI dashboards and SQL-based reporting pipelines covering 10,000+ records across finance, HR, and operations — enabling leadership to make data-driven decisions 40% faster. • Identified and resolved 200+ data inconsistencies, duplicates, and reporting errors using SQL queries and Python (Pandas), improving overall data accuracy by 95% across business reporting systems. • Reduced manual reporting effort by 30% by automating recurring Excel and Power BI report generation using DAX formulas, calculated columns, and scheduled data refreshes. • Collaborated cross-functionally with IT and business teams to translate complex data requirements into actionable dashboards; presented findings to C-level stakeholders in non-technical language. • Tools: SQL, Python (Pandas), Power BI (DAX, KPIs), Excel, REST APIs, data reconciliation
SPHERE SOFT SOLUTIONS INDIA PRIVATE LIMITED
Apr 20243 mosJun 2024

Hyderabad, Telangana, India

• Designed and deployed end-to-end Python data pipelines integrating 5+ external data sources; applied feature engineering and hyperparameter tuning to achieve 96% ML model accuracy — a 12% improvement over the baseline. • Built and validated NLP text classification models using Scikit-learn and Pandas; automated preprocessing and data validation workflows, reducing manual intervention by 40%. • Documented all data processes, model configurations, and system architectures using version-controlled Jupyter notebooks; enabled reproducibility across the engineering team. • Collaborated with cross-functional teams to deliver AI-powered solutions on tight deadlines; conducted model performance reviews and presented results to senior stakeholders. • Tools: Python, Scikit-learn, Pandas, NumPy, NLP, Machine Learning, Jupyter, Git
AIM TECHNOLOGIES Kakinada
Dec 20234 mosMar 2024

Kakinada, Andhra Pradesh, India

• Applied Random Forest and Logistic Regression to large-scale customer datasets; built EDA pipelines flagging anomalies; collaborated with marketing and product teams to translate business questions into documented analytical solutions — contributing to a 10% increase in sales outcomes.
United Nations Youth Community (UNYC)
Jul 20221 yr 5 mosNov 2023

Punjab, India

Analysed community datasets and produced reports for international teams supporting youth development and social impact initiatives over 17 months. Applied data mining and machine learning techniques to identify trends; collaborated with a global volunteer team across multiple regions.

Education

University of New Haven

Master's degree, Data Science

University of New Haven

20251 yr2026
Lovely Professional University

Bachelor of Engineering, Data science

Lovely Professional University

20204 yrs2024

Join Karthik and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Karthik Kandimalla on Tal

Headline

Data Scientist & AI Engineer | RAG Pipelines | LLMs | Python | SQL | Power BI | MS Data Science @ UNH | Open to Work in USA

About

I'm Karthik — a Data Scientist and AI Engineer finishing my MS at the University of New Haven (GPA: 3.67, Dec 2026), actively looking for roles in the USA. I've spent the last year building real things: RAG pipelines that cut document retrieval time by 60%, Power BI dashboards tracking 15+ KPIs, and ML models hitting 96% accuracy. Three internships, hands-on across the full stack — from SQL and Python to LangChain, FAISS, and YOLOv8. What I bring: → Python | SQL | Power BI | LLMs | RAG | NLP | Machine Learning → Experience turning messy data into decisions executives actually use → GPA 3.67 | Published research | Open to remote or on-site anywhere in the USA Let's connect — I'm actively interviewing. 📩 karthik950536@gmail.com

Location

Greater Hartford

Work experience

Data Analyst at Kapital Information Technologies Private Limited, Jul 2024 - Dec 2024 · 6 mos, Banglore, • Engineered and maintained 5+ Power BI dashboards and SQL-based reporting pipelines covering 10,000+ records across finance, HR, and operations — enabling leadership to make data-driven decisions 40% faster. • Identified and resolved 200+ data inconsistencies, duplicates, and reporting errors using SQL queries and Python (Pandas), improving overall data accuracy by 95% across business reporting systems. • Reduced manual reporting effort by 30% by automating recurring Excel and Power BI report generation using DAX formulas, calculated columns, and scheduled data refreshes. • Collaborated cross-functionally with IT and business teams to translate complex data requirements into actionable dashboards; presented findings to C-level stakeholders in non-technical language. • Tools: SQL, Python (Pandas), Power BI (DAX, KPIs), Excel, REST APIs, data reconciliation

Artificial Intelligence Engineer at SPHERE SOFT SOLUTIONS INDIA PRIVATE LIMITED, Apr 2024 - Jun 2024 · 3 mos, Hyderabad, Telangana, India, • Designed and deployed end-to-end Python data pipelines integrating 5+ external data sources; applied feature engineering and hyperparameter tuning to achieve 96% ML model accuracy — a 12% improvement over the baseline. • Built and validated NLP text classification models using Scikit-learn and Pandas; automated preprocessing and data validation workflows, reducing manual intervention by 40%. • Documented all data processes, model configurations, and system architectures using version-controlled Jupyter notebooks; enabled reproducibility across the engineering team. • Collaborated with cross-functional teams to deliver AI-powered solutions on tight deadlines; conducted model performance reviews and presented results to senior stakeholders. • Tools: Python, Scikit-learn, Pandas, NumPy, NLP, Machine Learning, Jupyter, Git

Data Science Engineer at AIM TECHNOLOGIES Kakinada, Dec 2023 - Mar 2024 · 4 mos, Kakinada, Andhra Pradesh, India, • Applied Random Forest and Logistic Regression to large-scale customer datasets; built EDA pipelines flagging anomalies; collaborated with marketing and product teams to translate business questions into documented analytical solutions — contributing to a 10% increase in sales outcomes.

Data Analyst Volunteer at United Nations Youth Community (UNYC), Jul 2022 - Nov 2023 · 1 yr 5 mos, Punjab, India, Analysed community datasets and produced reports for international teams supporting youth development and social impact initiatives over 17 months. Applied data mining and machine learning techniques to identify trends; collaborated with a global volunteer team across multiple regions.

Education

Master's degree, Data Science, University of New Haven

Bachelor of Engineering, Data science, Lovely Professional University