Nagaraju N

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

• Demonstrated foundational skills in Python for data manipulation (NumPy, Pandas), visualization (Matplotlib, Seaborn), and web scraping (BeautifulSoup).
• Proficiency in data visualization tools like Power BI, including DAX, Power Query, and KPI dashboard development, as evidenced by project work and certification.
• Understanding of various Machine Learning techniques (Regression, Classification, Clustering, Random Forest, Decision Trees, KNN, Logistic Regression) and model evaluation metrics (R², RMSE).
• Experience with SQL/MySQL for database operations (CRUD, Joins, Clauses, ACID, Data Filtering, Exploration).
• Exposure to Deep Learning concepts, specifically ANN and CNN, with a project demonstrating application.
• Practical project experience in areas like predictive modeling (stroke prediction, churn prediction), business intelligence (grocery analytics), and exploratory data analysis, which align well with a Data Analyst role.
• Certifications in Exploratory Data Analysis and Power BI indicate a proactive learning approach and commitment to skill development.