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.
<p>Led the development of an automated News Analysis Bot using Natural Language Processing (NLP) techniques.<br>
Collaborated with stakeholders to gather requirements and define functionalities.<br>
Implemented NLP models with Python (NLTK) for efficient news analysis.<br>
Ensured the accuracy and reliability of the automated news analysis process.<br>
Spearheaded the design and deployment of a Reconciliation Bot for Upgrad using RPA tools (e.g., UiPath).<br>
Collaborated with finance and operations teams to understand reconciliation requirements.<br>
Automated reconciliation processes to enhance accuracy and efficiency.<br>
Conducted testing and validation to ensure the reliability of the reconciliation bot.<br>
Utilized Python data science libraries for automated reconciliation processes in Shopify.<br>
Collaborated with e-commerce teams to define reconciliation requirements.<br>
Developed and implemented automated solutions to minimize errors in reconciliation.<br>
Participated in team discussions to align technical solutions with business objectives.</p>
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