A ACHYUT KUMAR

1. AI and Data Engineering

• AI Model Development: Designed and deployed AI models using OpenAI APIs to solve business challenges and improve decision-making.
• Machine Learning: Built and fine-tuned machine learning models to predict outcomes with high accuracy and address real-world use cases.
• Natural Language Processing (NLP): Applied NLP techniques for text pre-processing, sentiment analysis, and text analytics, deriving actionable insights from unstructured data.

2. Web Scraping and Data Extraction

• Data Scraping: Developed robust web scraping solutions using Python, Scrapy, and APIs (GET/POST requests), leveraging proxies for optimized data collection.
• Data Transformation: Processed and structured raw data into actionable formats for analysis and reporting.

3. Data Visualization and Reporting

• Dashboard Creation: Created interactive dashboards using Google Looker Studio and Tableau, showcasing metrics like growth trends, revenue factors, and popular courses to support strategic decisions.
• Insights Delivery: Utilized statistical and advanced analytics to identify trends, enabling proactive business strategy adjustments and effective communication through visualizations.

4. Automation and Workflow Optimization

• Task Automation: Increased productivity by automating repetitive tasks using Python, reducing manual errors and freeing time for complex analyses.
• Workflow Streamlining: Decomposed complex workflows into manageable components for easier implementation and maintenance, enhancing operational efficiency.

5. Database Management and ETL Processes

• Data Engineering: Designed and maintained scalable data pipelines, ensuring data integrity and stability across Extract, Transform, Load (ETL) tasks.
• Database Optimization: Fine-tuned query performance and optimized database structures for faster data retrieval and improved reporting accuracy.
• Data Quality: Enhanced data reliability by performing comprehensive cleaning, validation, and transformation tasks.

6. Collaboration and Leadership

• Cross-functional Collaboration: Partnered with stakeholders to gather requirements, align solutions with organizational goals, and improve workflows.
• Mentorship: Provided technical guidance to junior team members, fostering a collaborative learning environment.

7. Innovative Problem Solving

• Creative Solutions: Applied innovative thinking to overcome technical challenges, enhancing AI model efficiency and application performance.
• Market Analysis: Conducted in-depth data analysis in an edtech context, supporting strategic decisions with insights into growth trends and market demands.

8. Software Development and Security

• Application Development: Designed and implemented scalable applications for data extraction and analysis, integrating machine learning models for advanced predictions.
• API Integration: Facilitated seamless communication between software components by implementing robust API integrations.
• Security Measures: Implemented data security protocols to protect sensitive information and ensure compliance.
• Cloud Deployment: Deployed applications on cloud platforms, utilizing tools like Docker to streamline development and production environments.

9. Key Achievements

• Improved decision-making processes through intuitive dashboards and actionable insights.
• Increased operational efficiency by automating data workflows and analysis tasks.
• Delivered high-quality products within tight deadlines, ensuring business continuity.
• Proactively explored and adopted new technologies to enhance system performance and team productivity.

• Review and analyze articles to ensure content accuracy, relevance, and adherence to project briefs
• Verify that images and transcript feeds align with the specified brief, including checking for the inclusion of required keywords
• Actively participate in team meetings to discuss findings, share feedback, and provide recommendations for improvement
• Work collaboratively within a team to ensure project goals and outcomes are successfully achieved
• Perform thorough reviews of articles to identify and correct any errors, ensuring a mistake-free output
• Maintain high-quality standards in all deliverables
• Stay updated on all client-specific policies and guidelines related to content reviewing
• Ensure compliance with the client's expectations and standards during the review process
• Provide insights for enhancing processes based on findings and feedback
• Proactively suggest changes or improvements to optimize the review workflow
• Duration: 13 Months
• Collaborated closely with other departments for achieving operational excellence across the organization.
• Investigated basic issues and escalated more complicated concerns.
• Improved process efficiency by analyzing, identifying bottlenecks, and implementing corrective actions.
• Maintained strict adherence to quality standards by conducting regular audits, resulting in reduced error rates.
• Provided training and mentorship to team members, fostering a culture of learning and growth.
• Managed cross-functional teams in order to achieve project goals within deadlines.
• Supervised meetings to maintain interdisciplinary communication of process weaknesses and performance.
• Built and managed processes for tracking and monitoring department performance.