Ankur Sarkar
Business Analyst @ Inventive Software Solution Pvt. Ltd.
Delhi, IN • Joined Jun 2023
About
Seeking for a challenging role at a reputed organization to utilize my technical knowledge and skills that can contribute to the company’s growth as well as enhance my knowledge by exploring new things.
Work experience
1 years 8 months
Inventive Software Solution Pvt. Ltd.
1 year
Business Analyst
June 2023 - Present
Full-time
• Executed Exploratory Data Analysis (EDA) projects with Data Analysis, Data Processing, Data Cleansing, Data Visualization and Tableau. • Implemented Python libraries like NumPy, Pandas, Matplotlib, Seaborn to manipulate string, lists, tuples, sets, dictionaries, statements, indentation, conditions, loops, and iterations. • Expertise in SQL fundamentals and its related operations. • Applied Machine Learning techniques such as Support Vector Machine (SVM), Linear Regression, Logistic Regression, Cross Validation, Fine-Tuning Parameters, Decision Trees, K-Nearest Neighbor, K-Means Clustering, Random Forest, Hierarchal Clustering, and Natural Language Processing (NLP).
Education
Almabetter Institution
2022 - 2023
Data Science and Machine Learning in Data Science and Machine Learning
July 2022 - February 2023
Conducted an EDA project, demonstrating proficiency in data analysis, data wrangling, and data visualization using Python libraries like NumPy, Pandas, Matplotlib, and Seaborn. Leveraged expertise in strings, lists, tuples, sets, dictionaries, statements, indentation, conditionals, loops, iterations and list comprehensions in Python. Applied SQL fundamentals and basic operations for data manipulation. Applied Machine Learning skills such as Support Vector Machine SVM, Linear Regression, Logistic Regression, Cross Validation, Hyperparameter Tuning, Decision Trees, K-Nearest Neighbor, K-Means Clustering, Random Forest, Hierarchal Clustering, and Natural Language Processing NLP. Generated data insights using Tableau for visualization.
Future Institute of Engineering and Management (FIEM), Kolkata
2018 - 2022
B.Tech Electrical in Electrical Engineering
June 2018 - June 2022
Achieved academic excellence during my Bachelor's degree in Electrical Engineering from Maulana Abul Kalam Azad University of Technology, Kolkata in 2022, securing a 1st division with an outstanding CGPA of 8.8.
Hirendra Leela Patranavis School
2016 - 2018
Higher Secondary 12th in 12th
June 2016 - June 2018
I achieved a 1st Division in my intermediate 12th class with 83% of marks, demonstrating my commitment to academic success. My consistent hard work and dedication have enabled me to excel and outperform my peers. My outstanding academic performance is testimony to my strong determination to meet challenging goals.
10th in 10th
May 2015 - June 2016
I achieved a 1st Division in my matriculation 10th class with 82% of marks, demonstrating my commitment to academic success. My consistent hard work and dedication have enabled me to excel and outperform my peers. My outstanding academic performance is testimony to my strong determination to meet challenging goals.
Projects
Classification ML Project : Mobile Price Range Prediction
Jan 2023 - Apr 2023
Almabetter Institution
• Preprocessed data and implemented feature selection to enhance the accuracy of model by using Numpy library. • Developed classification model with Decision Tree and Random Forest Algorithm using Python and Scikit-Learn. • Optimized model performance with Hyperparameter tuning by using GridSearchCV library. • Visualized the data and model results by using Matplotlib, Seaborn, and Plotly libraries. • Tested the model on test data set and evaluated the model with accuracy metrics such as Confusion Matrix and F1 score. • Implemented the classification machine learning project by predicting mobile price range from given dataset.
Regression Project : Bike Sharing Demand Prediction
Mar 2023 - Apr 2023
Almabetter Institution
- Regression Project: - Analyzed data to identify outliers in rented bike column. - Detected skewness and performed square root operation. - Tuned hyperparameters to improve R2 Square. - Plotted heat map to reveal correlation between temperature and dew point temperature columns.
Unsupervised ML : Online Retail Customer Segmentation
Oct 2022 - Jan 2023
Almabetter Institution
- Utilized unsupervised machine learning techniques to perform online retail customer segmentation on a dataset with a large sample size. - Applied pre-processing techniques to clean and prepare data, including removing duplicates. - Leveraged exploratory data analysis and visualizations to identify features with the highest correlation. - Applied K-Means clustering to segment customers and improve business insights.
EDA Project : Play Store App Review Analysis
Sep 2022 - Dec 2022
Almabetter Institution
• Leveraged Exploratory Data Analysis techniques to explore and visualize interactions between different Play Store App Review features • Performed quantitative and qualitative analysis to identify impact of different factors on user engagement and app success • Demonstrated passion in exploring Google Play Store data and identified key factors for app success and user engagement • Utilized data visualization to analyze and compare the reviews of applications and their size, installation etc. • Implemented statistical techniques to analyze new apps distribution based on their reviews • Explored and discovered the major drivers of the apps' success rate • Created reports to summarize findings to understand user engagement and app success trends
Awards & achievements
Future Institute of Engineering and Management (FIEM), Kolkata
Smart Meter Making
Oct 2022
Future Institute of Engineering and Management (FIEM), Kolkata
PMCARE Charitable Trust
Jul 2022
Future Institute of Engineering and Management (FIEM), Kolkata
Coding Solution & Publishing
May 2022
Future Institute of Engineering and Management (FIEM), Kolkata
Govt. of India “My Gov Quiz”
Apr 2022
