Machine Learning Data Science
Resume:
Swati Gupta
**************@*****.***
LinkedIn: https://www.linkedin.com/in/swati-gupta-a1b2ab76/
Summary:
Passionate and aspiring Software Engineer with hands-on experience in software development, machine learning, and data analysis.
Adept at using Python, SQL, C++, Core Java, and machine learning frameworks to develop innovative software solutions.
Focused on delivering impactful results through technical expertise and creative problem-solving.
Proficient in Microsoft Office applications such as Excel, Power point, Outlook and Microsoft Teams.
Technical Skills:
Programming Languages: Python, C, C++, Core Java
Databases: SQL, MySQL
Tools & Technologies: Microsoft Office Suite, VS Code, Jupiter Notebook, Power BI
Machine Learning & Data Science: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, SciPy, Decision Trees, Ensemble Methods, Recommendation Engine, Time Series Analysis, NLP
Achievements and Certifications:
In progress Executive Program in Data Science & A.I by Skill Arbitrage.
Six Weeks Data Scientist Certification – Task Tech Recruiters
IBM – Machine Learning with Python
IBM – Python for Data Science AI and Development
Google Data Analytics Professional Certification
Data Analyst Bootcamp – Dataisgood (now Skill Arbitrage)
Soft Skills:
Strong problem-solving abilities and logical thinking.
Excellent communication and collaboration skills.
Ability to work independently and as part of a team.
Quick learner with a growth mindset.
Professional Experience:
Flagstar Bank
Role- Client Consultant I Feb 2025 – Present
Assisting clients with banking products, services, and financial inquiries to ensure excellent customer service.
Guiding customers in digital banking solutions and resolving technical or transactional concerns.
Collaborating with cross-functional teams to streamline client onboarding and improve service delivery.
Using CRM systems (Salesforce) and internal dashboards to manage customer interactions
Utilizing communication and problem-solving skills to support client satisfaction and retention.
Operate daily on enterprise platforms like Salesforce CRM, Fiserv DNA, and Fiserv Fivision for customer data management, case handling, and transaction processing.
Perform front-line technical troubleshooting for system errors or access issues, collaborating with IT and back-office teams to resolve problems efficiently.
Ensure data accuracy and integrity by reviewing, updating, and verifying client information across multiple banking systems.
Generate reports, monitor case status, and track customer interactions using Salesforce, improving service delivery and accountability.
Identify workflow inefficiencies and escalate system-related concerns, contributing to process improvement initiatives in digital banking services.
Tools Used: Salesforce Fiserv DNA Fiserv Fivision MS Office Suite
DataAnnotation.Tech(Freelancer) Jun 2024 – Aug 2024
Role: AI Consultant
Worked as an AI Trainer/Consultant on Python and machine learning module assessments.
Utilized skills in Python, machine learning, and data analysis to assist in training AI models and improving their performance.
Developed and implemented data preprocessing pipelines for machine learning models.
Assisted with model evaluation, testing, and optimization to enhance accuracy and efficiency.
Skills Used: Python, SQL, Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn, SciPy.
Projects:
Exploring Hacker News using Python – Identifying the best time on Hacker News to receive the highest average number of comments. Which type of posts gets more engagement.
Bike Sharing dataset for data Cleaning using Python, NumPy, Panda, Matplotlib and Seaborn – Explore feature affecting bike rental, counts across various dimensions like time, season and weather cons. Extract insights and prepare the data for advanced modelling or Visualization. Aim is to prepare the dataset for predictive modelling, enabling deeper insights into factors influencing bike rentals. It combines visualization and dimensionally reduction to uncover actionable patterns.
Car Price predictor using Linear Regression
Predictive Modelling in Marketing in Banks using Logistic Regression– Reduce Campaigning cost by identifying customers likely subscribe in their campaign. By this Banks easily target potential customers more effectively.
Customer Churn Prediction in Telecommunication using Python, Ensemble Method, Decision Tree – Understanding and Predicting churn is crucial for business as it is directly impacting revenue and growth. Retaining customers is often more cost effective than acquiring new customers, making churn prediction is a valuable tool for customer retention strategies. Identifying potential customers as they tend to favour the majority class. Addressing this imbalance is essential for developing accurate and effective churn prediction model.
Sentiment Classification using NLP and Classic Algorithm – Sentiment Analysis means to identify the view or emotions behind any situation. Basically, means to analyse and find the emotion or intent behind a piece of text or speech or any model of communication.
Education:
Bachelor of Engineering in Computer Science from Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal.
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