Ankita Pandey Need help in Project, Assignment, Exam and in JOB?
1 Review

I can do your your project requirements, assignments, quizzes or online exams of even job support. Avail the assistance of an IBM certified Data Scientist, Machine Learning and AI Researcher for your project requirements, assignments, quizzes or online exams. As a Programmer Analyst at Cognizant Technology Solutions, I possess extensive experience in the domain. Alongside, I impart my knowledge to aspiring students of AI, ML, and Data Science. I have published several research papers in the emerging fields of Machine Learning and Artificial Intelligence. My teaching methodology begins with the fundamentals, paving the way towards a comprehensive understanding of the subject. This proven methodology has been endorsed by psychologists, and I am confident in providing you with quality project and assignment assistance.

Professional Skills:

Proficient in Data Science techniques
Expert in Machine Learning
Proficient in Python Programming
Competent in Artificial Intelligence
Experienced in Deep Learning
Familiar with Arduino Programming
Expert in SQL

Personal, Professional Project Examples:

Coursera Capstone: Neighborhood Clustering based on similarity in New York City

AI-based Rock Paper Scissors Game utilizing a CNN model with customized dataset. The game opens the camera and prompts the user to show their gesture, displaying the results accordingly.

Developed a Plant Disease Prediction App that predicts plant diseases by taking input of an image through camera or gallery. This app also suggests a way to cure the disease.

Created a Suicide Predictor Web App, a Streamlit-based application that predicts suicidal sentences written by social media users and takes appropriate action.

Developed a Real-Time Emotion Recognition system that uses deep convolutional neural networks for real-time emotion recognition with an accuracy of 81%.

Conducted Sentiment Analysis on IMDB data by implementing two methods; one with sentiment lexicons and the other without them. The code can be found in my repository.

Research Papers:

"Relative Distance Based Fuzzy Clustering Approach for Wireless Sensor Networks" (In PRESS) published in the International Conference on Advances in Electrical, Electronics, and System Engineering. The paper showcases the utilization of fuzzy clustering techniques for energy optimization in Wireless Sensor Networks.

"Innovation of Transistors in Electronics" (In PRESS) presented at the National Conference on Entrepreneurship Development and Technological Innovation at HBTU Kanpur. This review paper delves into the advancements in transistors and their impact on the technological world.

Professional Certifications and Training:

Completed an internship in IoT and AI Application, where I learned to integrate AI and IoT to create a smart device. The primary project during the internship was to create an emotion recognition system that exceeded the accuracy of the original project.

Received training on VLSI design and embedded systems, where I learned embedded programming and VLSI design concepts.

Completed the Applied Data Science specialization offered by IBM on Coursera, covering all the applied aspects of Data Science across four courses.

Achieved the Data Science Professional Certificate offered by IBM on Coursera, which is a 9-course specialization certificate with theoretical and practical implementation components.

Completed the TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning certification offered by deeplearning.ai, achieving a score of 98.66%.

Earned an NPTEL online certification in Machine Learning for Scientific Applications, with a score of 50%.

Authorized by IBM, received a perfect score of 100% in Databases and SQL for Data Science.

Authorized by IBM, received a score of 98.8% in Data Visualization with Python.

Authorized by IBM, achieved a score of 92.5% in Machine Learning with Python.

Authorized by Michigan University, achieved a perfect score of 100% in Applied Plotting, Charting & Data Representation in Python.

Authorized by IBM, received a perfect score of 100% in Python for Data Science and AI.

Authorized by IBM, achieved a score of 89.60% in the Applied Data Science Capstone.

Authorized by IBM, received a score of 95.78% in Data Analysis with Python.

Subjects

  • Python Beginner-Expert

  • Machine Learning Beginner-Expert

  • Data Science Beginner-Expert

  • Deep Learning Beginner-Expert

  • Computer Vision Beginner-Expert

  • Data analysis Beginner-Expert

  • Natural Language Processing Beginner-Expert

  • Data analysis and visualization Beginner-Expert

  • Machine Learning Model deployment using flask and streamlit Beginner-Expert

  • AI & ML (Artificial intelligence & Machine Learning) Beginner-Expert

  • Weka Tool for ML and Data Analysis Beginner-Expert

  • Python for Data science, Machine Learning and Artificial Intelligence Beginner-Expert

  • ChatGPT Beginner-Expert

  • ChatGPT Prompt Engineering

Experience

  • People analyst (May, 2022–Present) at Deloitte
    As a People Analyst, I utilize my technical skills in Machine Learning, Natural Language Processing, and AI to analyze and understand human behavior within organizations. I write code to extract, clean, and structure data from various sources. I then use advanced ML algorithms to discover patterns and trends that inform HR strategies. With NLP, I interpret unstructured data like employee feedback, enhancing our understanding of employee sentiment. My AI expertise aids in predictive modeling for talent acquisition, retention, and development. The insights I provide influence strategic decisions, ultimately fostering a better workplace environment.
  • AI Engineer (Aug, 2021–May, 2023) at Cognizant technology solutions
    As an AI Engineer at Cognizant, I spearhead the development of AI search functionality in our in-house Learning Management System (LMS). I apply my proficiency in coding, Machine Learning, NLP, and AI to enhance the system's search capabilities, enabling more efficient and accurate information retrieval. I leverage ML algorithms to understand user search patterns, thereby improving search predictions. NLP is instrumental in interpreting search queries and delivering relevant results. My work involves not only designing and implementing these AI models but also ensuring their seamless integration with the existing LMS infrastructure. Ultimately, my role significantly improves the learning experience for Cognizant's employees. I usually worked on Python machine, learning, natural language processing, azure machine learning and other azure resources. Me with my team developed the whole AI search functionality and the backbone of it.
  • Data Science and Machine Learning Trainer (Jun, 2020–Present) at Skill Vertex edutech
    As a Data Science and Machine Learning Trainer at Skill-Vertex, I guide students, engineering graduates, and working professionals through the nuances of Python, advanced data science, and machine learning. I teach them how to analyze complex datasets, utilize GitHub for version control, and deploy ML applications. With a focus on real-world applications, I equip them with the skills to extract insights from data, build predictive models, and make data-driven decisions. My role includes fostering an understanding of how to navigate the ML lifecycle – from problem understanding to model deployment – thus preparing them for rewarding careers in data science.

Education

  • B. Tech (Jun, 2016–Jul, 2020) from Dr. A.P.J. Abdul Kalam technical univeristy–scored 81

Fee details

    ₹1,000–2,500/hour (US$11.79–29.48/hour)

    Internet and Intellectual property charges

1 Review
5 out of 5

User Photo June 22, 2023
Payment verified US$ 29.48 (2500 INR)

She is great. Very knowledgeable in Python Data Science and Machine learning

I got chance to learn data science and Machine learning with python from her. She explains the topic very clearly takes time to understand your requirements and create specific plan for the learning. Love the way communication and clarity of communication.

I will recommend anyone to learn any of the following topic from her.
Python programming language, Data Science, Machine learning.