Ankur Sarkar

Ankur Sarkar

Business Analyst @ Inventive Software Solutions Private Limited

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

11 months

Org Logo

Inventive Software Solutions Private Limited

11 month

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

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

Smart Meter Making

Oct 2022

Future Institute of Engineering and Management

PMCARE Charitable Trust

Jul 2022

Future Institute of Engineering and Management

Coding Solution & Publishing

May 2022

Future Institute of Engineering and Management

Govt. of India “My Gov Quiz”

Apr 2022