M V K Akash

Data Analyst / Data Scientist

Visakhapatnam, A.P. 80 · Excellent

About

Data Analyst / Data Scientist skilled in Python, SQL, Power BI, Excel, and machine learning. Experienced in data analysis, EDA, statistical modelling, dashboard development, and predictive analytics using real-world datasets. Passionate about transforming data into actionable business insights and improving decision-making through data-driven solutions.

Skills & Expertise (30)

scikit-learn Intermediate

5.5/10

0.5

Years Exp

EDA Intermediate

5.5/10

0.5

Years Exp

Data Cleaning Intermediate

5.5/10

0.5

Years Exp

Python Intermediate

5.5/10

0.5

Years Exp

Data Preprocessing Intermediate

5.5/10

0.5

Years Exp

MySql Intermediate

5.5/10

0.5

Years Exp

Jupyter Notebook Intermediate

5.5/10

0.5

Years Exp

Google Colab Intermediate

5.5/10

0.5

Years Exp

Power BI Intermediate

5.5/10

0.5

Years Exp

NumPy Intermediate

5.5/10

0.5

Years Exp

Pandas Intermediate

5.5/10

0.5

Years Exp

SQL Intermediate

5.5/10

0.5

Years Exp

Clustering Intermediate

5.0/10

0.5

Years Exp

Git Intermediate

5.0/10

0.5

Years Exp

GitHub Intermediate

5.0/10

0.5

Years Exp

Probability Intermediate

5.0/10

0.5

Years Exp

Statistical Analysis Intermediate

5.0/10

0.5

Years Exp

Hypothesis Testing Intermediate

5.0/10

0.5

Years Exp

Feature Engineering Intermediate

5.0/10

0.5

Years Exp

Model Evaluation Intermediate

5.0/10

0.5

Years Exp

Classification Intermediate

5.0/10

0.5

Years Exp

Regression Intermediate

5.0/10

0.5

Years Exp

Excel Intermediate

5.0/10

0.5

Years Exp

Seaborn Intermediate

5.0/10

0.5

Years Exp

Matplotlib Intermediate

5.0/10

0.5

Years Exp

XGBoost Intermediate

4.5/10

0.5

Years Exp

Keras Intermediate

4.5/10

0.5

Years Exp

TensorFlow Intermediate

4.5/10

0.5

Years Exp

Streamlit Intermediate

4.5/10

0.5

Years Exp

Alteryx Designer Intermediate

4.0/10

0.5

Years Exp

Work Experience

Intern

Data Science Essentials

Present - 6 Months

Analysed 5+ real-world business datasets containing 10,000+ records using Python, Pandas, NumPy, and SQL. Performed data cleaning, preprocessing, and exploratory data analysis (EDA) to identify trends, anomalies, and business opportunities. Designed and developed 3 interactive Power BI dashboards for monitoring revenue trends, customer behaviour, product KPIs, and tax compliance metrics. Automated reporting workflows using Python, reducing manual reporting effort by approximately 60%. Conducted statistical analysis and hypothesis testing to validate business assumptions and improve decision-making accuracy. Applied feature engineering and data transformation techniques to improve machine learning model performance. Collaborated on business case studies and presented data-driven recommendations to improve operational efficiency and customer insights.