Apr 2022 – Aug 2022 · 4 mos

Mar 2022 – Aug 2022 · 5 mos · Remote

• Work on real-world data science projects under the guidance of senior data scientists
• Assist in data preprocessing, cleaning, and transformation
• Develop and test machine learning models using Python
• Analyze and interpret data using statistical techniques and data visualization tools
• Collaborate with cross-functional teams to identify and address business problems using data-driven insights
• Present findings and recommendations to internal and external stakeholders.

Jan 2022 – Sep 2022 · 8 mos · Bangalore Urban, Karnataka, India · Remote

• Experienced in leading high-impact projects aimed at enhancing operational efficiency and optimizing decision-making processes. Skilled in data collection, preprocessing, feature engineering, model development, deployment, and performance monitoring. Proficient in translating complex data insights into actionable strategies for stakeholders.
• Key Achievements:
• 1. Led the Loan Eligibility Prediction project, revolutionizing the firm's loan approval process through innovative analytics and machine learning methodologies.
• 2. Successfully improved loan approval accuracy and reduced false positives/negatives, leading to enhanced risk management and operational efficiency.
• 3. Leveraged diverse datasets and state-of-the-art algorithms to achieve significant improvements in decision-making accuracy and streamline processes.
• 4. Provided actionable insights to stakeholders, driving data-driven decision-making and strategic planning initiatives.
• Project 2: Optimizing Sculpture Shipping Costs through Data-Driven Predictive Modeling
• Objective: Develop predictive models to estimate shipping costs for sculptures acquired from global artists, facilitating efficient logistics management and cost-effective operations.
• Key Responsibilities:
• 1. Lead the development of predictive models utilizing advanced data analysis techniques and machine learning algorithms.
• 2. Implement feature engineering to extract meaningful insights and identify factors influencing shipping costs.
• 3. Train and validate predictive models to ensure accuracy and reliability in estimating shipping expenses.
• 4. Provide actionable recommendations based on model insights to optimize logistics operations and reduce shipping expenses.
• 5. Played a pivotal role in driving strategic decision-making by providing data-driven insights into sculpture shipping costs and logistics optimization opportunities.

Nov 2018 – Mar 2020 · 1 yr 4 mos · Brøndby, Capital Region, Denmark

Mar 2015 – Nov 2018 · 3 yrs 8 mos · Nørrebro

Jan 2013 – Feb 2015 · 2 yrs 1 mo · Rødovre, Capital Region, Denmark

Apr 2010 – Dec 2012 · 2 yrs 8 mos · Hyderabad, Telangana, India · On-site

• 1. Proficient in HTML, CSS, and JavaScript, with a focus on creating visually appealing and responsive user interfaces.
• 2. Collaborative team player, experienced in working closely with designers, product managers, and backend developers to deliver high-quality solutions.
• 3. Strong advocate for best practices and techniques to optimize code for performance and maintainability.
• 4. Skilled in utilizing version control systems like Git to manage and collaborate on code repositories.
• 5. Dedicated to conducting thorough testing and debugging of frontend code to ensure reliability and stability across different browsers and devices.