ANKIT KUMAR SINGH

Data Scientist

Rohini, Delhi, India4 mos experience

Key Highlights

Hands-on experience in machine learning and data analysis.
Developed a fraud detection model with high accuracy.
Completed customer churn analysis with actionable insights.

Stackforce AI infers this person is a Data Analyst with a focus on Fintech and Data Science.

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Skills

Core Skills

Machine LearningData ScienceData Analysis

Other Skills

Analytical SkillsAutoCADAutomotive MarketingBusiness AnalysisBusiness ProcessBusiness RequirementsClassification AlgorithmsCommunicationDashboardsData AnalyticsData CleaningData ModelingData NormalizationData PreprocessingData Science Course with Guaranteed Internship

About

Passionate and Detail-oriented Data Analyst with hands-on experience in Data Analysis, Machine Learning, and Statistical modeling. Seeking to leverage my skills in Python, Tableau, SQL, and Data visualization tools to contribute to impactful projects and gain valuable industry experience.

Experience

4 mos

Total Experience

4 mos

Average Tenure

Current Experience

Spyne

Data Analyst

Oct 2024 – Feb 2025 · 4 mos · Gurugram, Haryana, India · On-site

Navodita infotech

Data Science Intern

Jul 2024 – Aug 2024 · 1 mo · Pune, Maharashtra, India · Remote

Part of Fraud Detection System Team:
Build a machine learning model to identify fraudulent credit card transactions.
Preprocess and normalize the transaction data, handle class
imbalance issues, and split the dataset into training and testing sets.
Trained a classification algorithm, such as logistic regression or random
forests, to classify transactions as fraudulent or genuine.
Evaluate the model's performance using metrics like precision, recall,
and F1-score, and consider techniques like oversampling or
undersampling for improving results.

Machine LearningData PreprocessingData NormalizationClassification AlgorithmsModel EvaluationData Science

Boston consulting group (bcg)

Data Science Virtual internship

Apr 2024 – Apr 2024 · 0 mo · Remote

Completed a customer churn analysis simulation for XYZ Analytics, demonstrating advanced data analytics
skills, identifying essential client data and outlining a strategic investigation approach.
Conducted efficient data analysis using Python, including Pandas and NumPy. Employed data visualiza-
tion techniques for insightful trend interpretation.
Completed the engineering and optimization of a random forest model, achieving an 85% accuracy rate in
predicting customer churn.
Completed a concise executive summary for the Associate Director, delivering actionable insights for
informed decision-making based on the analysis.