Sindhu Pamula

Data Scientist | Data Analyst | Machine Learning Engineer
Allahabad, IN.

About

Aspiring Data Scientist and Analyst with expertise in Python, SQL, and Machine Learning, specializing in advanced data analysis, predictive modeling, and impactful data visualization. Proven ability to translate complex data into actionable business insights, driving efficiency gains and strategic decision-making across diverse domains.

Work

Lumiq.ai
|

Data Analyst Intern

Remote, Remote, India

Summary

Analyzed customer data and optimized data pipelines to drive efficient reporting and enhance campaign planning for an AI-powered data analytics platform.

Highlights

Conducted in-depth customer data analysis using Python (Pandas, Seaborn) and SQL, generating 4+ critical reports on seasonal demand trends.

Developed interactive Power BI dashboards with dynamic filters, streamlining data accessibility and reducing campaign planning time by 30%.

Engineered and optimized PySpark pipelines, accelerating weekly reporting efficiency by 40% through robust engineering practices.

Volunteer

Prayaas
|

Volunteer

Allahabad, Uttar Pradesh, India

Summary

Supported student-led initiatives focused on education and welfare of underprivileged children.

Highlights

Actively contributed to student-led initiatives, enhancing educational support and welfare for underprivileged children.

Nirmiti
|

Volunteer

Allahabad, Uttar Pradesh, India

Summary

Engaged in promoting fine arts and cultural events through active participation in society programs.

Highlights

Participated in and promoted fine arts and cultural events, fostering community engagement through society programs.

Education

Indian Institute of Information Technology, Allahabad
Allahabad, Uttar Pradesh, India

B.Tech

Information Technology

Grade: 7.44/10 CGPA

Courses

Machine Learning

Artificial Intelligence

Probability & Statistics

Database Systems

Data Structures & Algorithms

Certificates

Data Analyst Intern Certificate

Issued By

Lumiq.ai

HackerRank SQL (Basic) Credential

Issued By

HackerRank

HackerRank SQL (Intermediate) Credential

Issued By

HackerRank

Skills

Programming & Analysis

Python (Pandas, NumPy, Scikit-learn), SQL, PySpark, Data Structures & Algorithms.

Machine Learning

Regression, Classification, Clustering, Model Evaluation, XGBoost, SHAP.

Visualization & BI

Power BI, Tableau, Excel, Seaborn, Matplotlib.

Databases & Cloud

PostgreSQL, MySQL, Google BigQuery (GCP), SQL Server.

Core Focus

Data Analysis, KPI Dashboards, Business Insights, Data Storytelling, Customer Segmentation, Churn Prediction, Credit Risk Profiling, Content Analysis.

Projects

Customer Segmentation with K-Means Clustering

Summary

Applied K-Means clustering on demographic and behavioral data of 200+ mall customers to uncover natural segments, utilizing Python (Scikit-learn, Seaborn).

Customer Churn Prediction using ML Models

Summary

Built an end-to-end ML pipeline on 7K+ customer records, including feature engineering and model training, using Python (Sklearn, XGBoost, Pandas).

FinTech Transactions & Credit Risk Profiling

Summary

Analyzed 2K+ customer transactions using SQL, Python, and Power BI to detect fraud patterns, anomalies, and credit risk signals.

Netflix Global Content Analysis

Summary

Conducted exploratory data analysis on 8.8K+ Netflix titles to examine trends across genres, release years, and countries, leveraging SQL, Python (Pandas, Seaborn), and Tableau.