Data Analyst with less than a year in Data Science & Business Intelligence.
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Assessing your cultural and operational fit
Data Analyst with hands-on experience in data science and business intelligence, passionate about turning raw data into meaningful insights. Strong foundation in Python, SQL, Power BI, Tableau, and Excel with practical exposure to machine learning, dashboard development, and real-world business problem solving. Known for being a quick learner, detail-oriented, and adaptable in team environments.
Cochin University of Science and Technology
Master of Business Administration · Marketing and Operations
January 1, 2022 – January 1, 2024
Kannur University
Bachelor of Arts · Economics
January 1, 2019 – January 1, 2022
Knovista Technologies Pvt Ltd
DATA ANALYST INTERN
January 1, 2026 – April 1, 2026
Cochin, Kerala, India
LEAD CONVERSION PREDICTION USING MACHINE LEARNING
June 22, 2026 – Present
Data acquired from Knovista Technologies Pvt Ltd which includes lead attributes such as source, campaign, stage, assigned salesperson, and interaction details. Data Preprocessing : Cleaning the dataset,Handling missing values,Encoding categorical variables. Exploratory Data Analysis : Identifying patterns in lead conversions,Analyzing how different features influence conversion rates. Model Development : Formulating the problem as a binary classification task,Train machine learning models (Decision Tree, Random Forest). Model Evaluation : Evaluating performance using metrics such as Accuracy, R2 Score, Precision, Recall, FI Score. Random Forest accuracy score at 95%, Decision Tree R2 score at 65%.
BUSINESS PERFORMANCE ANALYTICS USING POWER BI
June 22, 2026 – Present
Data acquires from Kaggle.com,sales data which includes data such as sales,profit,category,sub-category,state, city etc. Leveraged DAX functions for total sales and profit analysis, and performed thorough data cleansing to remove duplicates and errors, ensuring high data integrity. Key Performance Indicators (KPIs) : Count of States, Total Turnover, Total Profit. Plotted Sales Trends & Regional Volume using line chart and bar chart. Visualized Product Performance by utilizing pie chart,bar chart and a gauge chart. Used slicer to filter timeline and added a table displaying individual customer transactions, their purchased product categories and their names.
Cultural Fit Analysis
The candidate's projects demonstrate a practical, problem-solving approach to data analysis, aligning with a results-oriented culture. The blend of technical skills with an MBA in Marketing and Operations suggests a business-centric mindset, which is beneficial for understanding business context and driving actionable insights. The internship experience at Knovista Technologies Pvt Ltd, where they also sourced data for a project, indicates initiative and engagement. However, the limited professional experience (internship only) means cultural adaptability in diverse team settings is yet to be fully proven.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, communication, collaboration, critical thinking, attention to detail, self-learning, and business acumen, which are crucial for a Data Analyst role. The psychometric test score of 271/500 suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which could impact operational fit.