PMR

Panga Mohan Raju

Data Science

https://www.opentalent.in/panga-mohan-raju

Data Science with less than a year in Python, SQL, and data analytics

Key Strengths

Strong foundational knowledge in Python, SQL, and data analytics.
Demonstrated ability in data cleaning, EDA, and data visualization using tools like Power BI and Python libraries.
Exposure to various machine learning algorithms (KNN, Logistic Regression, Decision Tree) and deep learning concepts (CNN, RNN, LSTM).
Experience with NLP techniques including text preprocessing, word embeddings, and sentiment analysis.
Academic projects showcase practical application of data science concepts, including model building and evaluation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects demonstrate a proactive approach to learning and applying data science concepts. The diversity of projects (prediction models, EDA, dashboarding) suggests an interest in various aspects of data science. The mention of 'Blogging, Book Reading, Solving Creative Puzzles' indicates intellectual curiosity and a problem-solving mindset, which generally aligns well with a data science role. However, without professional experience, the ability to adapt to a corporate culture and collaborate in a professional setting is yet to be proven.

Soft Skills & Operational Fit

The candidate's resume mentions 'problem-solving and data-driven decision-making' in the professional summary, and 'Team Player' under activities. These indicate a foundational understanding of key soft skills. However, without specific behavioral assessment data or interview insights, it's difficult to fully assess operational fit and the depth of these soft skills.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

Aspiring Data Analyst and Data Scientist with a strong foundation in Python, SQL (MySQL), and data analytics. Skilled in data cleaning, data visualization, and building interactive dashboards using Power BI, with exposure to machine learning techniques. Proficient in problem-solving and data-driven decision-making, with the ability to extract insights and support business growth. Passionate about leveraging data science and analytics to solve real-world problems and deliver impactful solutions.

Top Skills

PythonSQLcharts

Education

Avanthi St. Theresa

B.Tech · Computer Science Engineering

August 1, 2021 – June 30, 2025

Narayana Junior College

Class XII (Intermediate)

June 1, 2019 – May 31, 2021

Andhra Pradesh Board of Secondary Education

Class X (SSC)

N/A – Present

Projects

Loan Approval & Diabetes Prediction

June 1, 2026 – Present

Built classification models using KNN, Logistic Regression, and Decision Tree. Performed EDA, preprocessing, and model evaluation. Achieved 85%+ and 80-88% accuracy across datasets.

Sales Performance Dashboard

June 1, 2026 – Present

Designed and implemented an interactive Sales Analytics Dashboard to track revenue, regional sales, and customer trends. Collected and cleaned raw sales data using Python (Pandas, NumPy). Built a dynamic Power BI dashboard with KPIs, charts, and drill-down filters for management insights.

Python Data Analysis Project (EDA)

August 1, 2025 – September 1, 2025

Gained hands-on experience in data cleaning, processing, and exploratory data analysis using Python with libraries such as NumPy, Pandas, Matplotlib, and Seaborn.

Certifications

CS-Codenz Course Completion Certificate

CS-Codenz

June 1, 2026 – Present

CS-Codenz Internship Completion Certificate

CS-Codenz

June 1, 2026 – Present

Key Strengths

Strong foundational knowledge in Python, SQL, and data analytics.
Demonstrated ability in data cleaning, EDA, and data visualization using tools like Power BI and Python libraries.
Exposure to various machine learning algorithms (KNN, Logistic Regression, Decision Tree) and deep learning concepts (CNN, RNN, LSTM).
Experience with NLP techniques including text preprocessing, word embeddings, and sentiment analysis.
Academic projects showcase practical application of data science concepts, including model building and evaluation.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit