A highly motivated and talented Junior Data Scientist with a passion for data and analytics and a desire to make a meaningful impact in a fast-paced environment. Collaborates with cross-functional teams to understand bus…
A highly motivated and talented Junior Data Scientist with a passion for data and analytics and a desire to make a meaningful impact in a fast-paced environment. Collaborates with cross-functional teams to understand business objectives and provide data-driven solutions. Proficient in cleaning and preprocessing raw data, implementing data quality checks, and conducting statistical analyses to support decision-making processes. Excellent communication and teamwork skills.
- Assist in data collection, cleaning, and preprocessing tasks.
- Collaborate with the team to implement statistical analyses and machine learning models.
- Contribute to the development of data visualizations and reports.
- Support in identifying trends and patterns in datasets.
- Participate in the evaluation and improvement of existing models.
- Collaborate with team members on various data science projects.
- Engage in continuous learning and stay updated on industry trends.
- Assist in the documentation of data science processes and methodologies.
- Support in ad-hoc data analysis requests from different departments.
- Contribute ideas and insights during team discussions and meetings.
Led the development of an automated News Analysis Bot using Natural Language Processing (NLP) techniques.
Collaborated with stakeholders to gather requirements and define functionalities.
Implemented NLP models with Python (NLTK) for efficient news analysis.
Ensured the accuracy and reliability of the automated news analysis process.
Spearheaded the design and deployment of a Reconciliation Bot for Upgrad using RPA tools (e.g., UiPath).
Collaborated with finance and operations teams to understand reconciliation requirements.
Automated reconciliation processes to enhance accuracy and efficiency.
Conducted testing and validation to ensure the reliability of the reconciliation bot.
Utilized Python data science libraries for automated reconciliation processes in Shopify.
Collaborated with e-commerce teams to define reconciliation requirements.
Developed and implemented automated solutions to minimize errors in reconciliation.
Participated in team discussions to align technical solutions with business objectives.
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