As Director at A2techschool LLP, I oversee the strategic direction and development of our comprehensive online IT education platform. A2techschool LLP specializes in delivering high-quality, industry-aligned courses, with a particular focus on data science and other high-demand IT fields. My role involves collaborating with educators and industry professionals to create effective, engaging curricula that prepare students for success in rapidly evolving tech careers. I also manage the operational aspects, ensuring that our courses meet the highest standards of online education.

As a Business Analyst Trainee at MedTourEasy, I contributed to projects focused on optimizing business processes, analyzing market trends, and supporting data-driven decisions. My responsibilities and achievements included:Data Collection and Analysis: Gathered and analyzed data on customer behavior, market trends, and operational metrics. Created reports and dashboards that highlighted key performance indicators, helping stakeholders make informed business decisions.Process Optimization: Identified and recommended improvements for core business processes, which increased efficiency by 20% in targeted workflows. Assisted in documenting process flows and implementing enhancements to streamline operations.Market Research and Competitor Analysis: Conducted detailed research on industry trends and competitor strategies, presenting insights that helped shape product and marketing initiatives. This research contributed to a more targeted approach, enhancing MedTourEasy’s competitive positioning.Reporting and Data Visualization: Developed visual dashboards and presentations using tools like Excel and Power BI, enabling quick access to insights for management. Improved data accessibility and understanding for non-technical stakeholders.Stakeholder Communication and Collaboration: Collaborated closely with cross-functional teams, including marketing and product development, to align analysis with business goals. Presented findings regularly, strengthening data-driven decision-making across the organization.

As an Artificial Intelligence Intern at TCR Innovation, I contributed to high-impact AI projects, enhancing my expertise in model development, data preprocessing, and deployment strategies. My core responsibilities and achievements included:Data Collection and Preprocessing: Curated and processed extensive datasets, implementing pipelines that boosted data quality by 25% and improved project workflows. Developed automated scripts in Python to streamline data preparation.Exploratory Data Analysis (EDA): Conducted EDA to identify trends and correlations critical to model accuracy, presenting visual insights using Matplotlib and Seaborn. These insights enabled stakeholders to make data-driven decisions and contributed to a 15% improvement in project outcomes.AI Model Development and Optimization: Developed and optimized machine learning models with TensorFlow and PyTorch for applications like image recognition and natural language processing. Achieved a significant accuracy milestone of 92%, enhancing model effectiveness for real-world applications.Model Deployment and Efficiency Improvements: Collaborated on deploying AI models into production environments, reducing inference time by 20% and ensuring scalability. This efficiency boost translated into faster user responses and improved model integration.Experimentation and A/B Testing: Designed and executed A/B testing to refine model parameters and configurations, leading to a 30% performance enhancement in deployed models.

As a Data Science and Business Analytics Intern at The Sparks Foundation, I worked on projects that developed my analytical skills, enhanced my understanding of data-driven insights, and honed my technical expertise. My core responsibilities and achievements included:Data Analysis and Visualization: Collected, cleaned, and analyzed large datasets to uncover trends and insights relevant to project goals. Created detailed visualizations using Python libraries like Matplotlib and Seaborn, making complex data accessible and actionable for stakeholders.Predictive Modeling: Developed and implemented predictive models using machine learning techniques to forecast trends and customer behavior. improving project outcomes and supporting better business strategy.Business Analytics and Reporting: Conducted business analyses that included identifying key performance indicators (KPIs) and generating reports to highlight business trends. These insights enabled data-driven decision-making across the team.

During my Data Science internship at Corizo, I contributed to data-driven projects that refined my technical, analytical, and collaborative skills. My experience included:Data Preparation and Cleaning: Compiled and processed large datasets, creating automated Python scripts that improved data accuracy by 30% and reduced processing time by 20%.Exploratory Data Analysis (EDA): Conducted thorough EDA to uncover trends and insights, visualizing results with Matplotlib, Seaborn, and Plotly. This helped stakeholders make informed business decisions, increasing customer engagement by 15%.Machine Learning Model Development: Developed and optimized predictive models using Scikit-learn and TensorFlow to forecast customer behavior. Achieved a 85% accuracy, which contributed to a 25% boost in customer retention.Data Reporting and Visualization: Built interactive Tableau dashboards, making insights easily accessible to non-technical teams and reducing report generation time by 40%.

During my internship at Pro University, I had the opportunity to work on various data-driven projects and hone my skills in data analysis, machine learning, and data visualization. Key responsibilities and achievements include:Data Collection and Cleaning: Collected, cleaned, and processed large datasets from multiple sources to prepare for analysis. Exploratory Data Analysis (EDA): Conducted in-depth EDA to understand patterns, trends, and anomalies in the data. Created insightful visualizations with libraries like Matplotlib, Seaborn, and Plotly to communicate findings with stakeholders.Machine Learning Model Development: Developed and optimized predictive models for customer behavior using Scikit-Learn and TensorFlow. Data Visualization and Reporting: Built interactive dashboards using Tableau and Power BI to allow cross-functional teams easy access to insights and performance metrics.

I have completed my Training & Internship of Data Analytics and Machine Learning and made my project "Data Analysis of Renewable Energy Systems ". This project mainly focuses on the usage of the python programming language in the field of renewable energy, Not just for analysing the data but also for the prediction of the upcoming scenarios in the energy field. In this project, I have used the following Datasets:1) "Global Wind and Solar Production" Insights from Dataset : Energy production are growing from 1990, and they have been continuously growing till date. The maximum solar energy production was 25000 million kilowatts-hours in the year 2014, whereas in the same year the electricity from wind energy production was, 175000 million kilowatts-hour.2) "Ethanol production in the USA" Insights from Dataset : Ethanol Consumption Trillion Btu has been consecutively increased from the year 1981 to the year 2019,ethanol consumption was maximum which was more than 5000 trillion btu in the year 2019.

A deep interest in health and wellness led me to become an associate of Herbalife, a leading nutrition company specializing in health and fitness products. Within a year of my time with the company, I was promoted to the Supervisor level, due to my constant connections and sales, ranging from working adults to young students. Work :• Advertise and promote products and services• Explain products, services, and prices and demonstrate use of products.• Contact customers to persuade them to purchase merchandise or services.Skills gained:• Health coaching • Dietary planning • Wellness • Education and Training • Good listening skills• Team management • Critical Thinking • Complex Problem-Solving • Sales and Marketing