Vikas Malik Email & Phone Number

Noida, UP, IN

• Utilized Python for data cleaning, preprocessing, and exploratory data analysis to derive actionable insights.
• Developed interactive dashboards and visual reports using Microsoft Power BI to communicate findings to stakeholders.
• Implemented machine learning algorithms, including regression models, to predict and analyze data trends.
• Applied linear and logistic regression techniques to model relationships between variables and predict outcomes.
• Evaluated model performance using metrics such as R-squared, RMSE, and AUC-ROC.
• Created comprehensive reports detailing project progress, findings, and recommendations.

• Extensively employed Python for tasks involving data cleaning, preprocessing, and performing exploratory data analysis (EDA) to derive actionable insights.
• Implemented machine learning algorithms, including regression models, to predict and analyze data trends, enhancing decision-making processes.
• Applied advanced statistical techniques, such as linear and logistic regression, to model relationships between variables and forecast outcomes accurately.
• Evaluated model performance using key metrics like R-squared, RMSE (Root Mean Squared Error), and AUC-ROC (Area Under the Receiver Operating Characteristic Curve) to ensure robust analysis.
• Leveraged advanced data visualization techniques with Python libraries like Matplotlib and Seaborn to create insightful visualizations.

• Created dashboards utilizing Pivot Charts and used Slicers to filter the sales data in domains like sales, customer relations, and finance.
• Utilized Google forms to gather information about the career goals and learning preferences of Generation Z.
• Analysed the collected data and extracted valuable insights through Joins and Aggregate Function in SQL.
• Designed interactive dashboards, reports and user interfaces using Excel’s and Power BI’s features.

• Performed data cleaning and preprocessing to ensure high-quality datasets.
• Utilized Python libraries such as Pandas, NumPy, and Matplotlib for data manipulation and visualization.
• Conducted exploratory data analysis (EDA) to uncover trends, patterns, and insights.
• Automated data collection and reporting processes using Python scripts.
• Assisted in creating dashboards and reports using visualization tools like Power BI.
• Documented data analysis processes and findings for future reference and decision-making.

Bengaluru, Karnataka, India

• Responsible for consolidating and analyzing financial data, taking into account company’s goals and financial standing.
• Utilize SQL queries to extract, clean, and transform financial data from databases for analysis.
• Perform in-depth financial analysis using Microsoft Excel, including financial modeling, forecasting, and variance analysis.
• Develop interactive dashboards and reports in Power BI to visualize financial data and key performance indicators (KPIs) for stakeholders.
• Create custom ad-hoc reports and financial presentations in Microsoft Excel to communicate insights and recommendations to management.
• Collaborate with cross-functional teams to ensure alignment of financial forecasts with business objectives and strategic initiatives.