Charan Reddy

Data Analyst, Data Engineer, or ML/AI Engineer

0+ yrs exp 81 · Excellent

About

Computer Science graduate with hands-on experience building data pipelines, cloud ETL systems, and machine learning models. Skilled in Python, SQL, AWS, Tableau, and Power BI. Proven ability to transform raw data into business insights and automate workflows at scale. Actively seeking Data Analyst, Data Engineer, or ML/AI Engineer roles.

Skills & Expertise (21)

Python Intermediate

6.5/10

0.5

Years Exp

TensorFlow Intermediate

6.5/10

0.5

Years Exp

SQL Intermediate

6.0/10

0.5

Years Exp

Model Evaluation Intermediate

5.5/10

0.5

Years Exp

Hyperparameter Tuning Intermediate

5.5/10

0.5

Years Exp

Tableau Intermediate

5.0/10

0.5

Years Exp

Power BI Intermediate

5.0/10

0.5

Years Exp

OOP Intermediate

5.0/10

0.5

Years Exp

Data Structures & Algorithms Intermediate

5.0/10

0.5

Years Exp

AWS S3 Beginner

4.5/10

0.5

Years Exp

ETL Pipelines Beginner

4.0/10

0.5

Years Exp

scikit-learn EDA Problem Solving Agile SDLC Amazon Athena CNN architectures Excel Batch Processing AWS QuickSight

Work Experience

AI / ML Intern

AICTE EduSkills – Google Developers

Jun 2023 - Aug 2023

Built an image classification model using TensorFlow and CNN architectures, achieving 95% validation accuracy through systematic preprocessing and data augmentation techniques. Fine-tuned model hyperparameters and evaluated performance using accuracy and loss metrics, reducing overfitting and improving generalization by approximately 12%. Gained end-to-end exposure to deep learning workflows including data ingestion, model training, evaluation, and iterative improvement. Earned 3 Google Developer badges via Qwiklabs covering ML pipelines, deep learning, and model deployment.

Data Analytics Intern

Superstore Sales & Profit Analysis

Jan 2023 - Mar 2023

Cleaned and transformed a 50,000+ row transactional dataset using Python (Pandas) and Excel, reducing data preparation time by approximately 40%. Performed in-depth exploratory data analysis to uncover regional sales trends and identify 3 underperforming product categories causing profit leakage. Built executive-level dashboards using pivot tables and charts to visualize sales and profit KPIs across 5 regions and 10+ product categories. Delivered data-driven recommendations that supported targeted discount strategy review across the Furniture category.