Anuradha Balasubramanian

• Natural Language Processing : The project involves delivering 2 Sub projects based on sequential NLP. Implementing a sequential NLP based text classifier, for a company in digital content & entertainment industry, using input text parameters to determine the customer's sentiments based on customer reviews in IMDB database and implementing a sequential NLP based text classifier for a social media analytics company using input text parameters to determine the customer sentiment
• Computer Vision : The project involves implementing an object detection model for highlighting human faces to automate the process of providing information of cast and crew while streaming,curating a training dataset to be used for highlighting human faces and implementing a face identification model for a company, which intends to recognize human faces from images.
• Convolutional Neural Networks :The project involves designing an image classifier that is capable of determining a plant's species
• Simple Neural Networks:The project was accomplished by deploying a neural network to build a regressor & classifier respectively for a communications equipment manufacturer. The model predicts the equipment's signal quality using various parameters from its products, which is responsible for emitting informative signals. Second project involves delivering an image classifier which can classify numbers from the photographs captured at street level using a Neural Network
• Recommendation Systems: This project replicates a real time use case of an e-commerce company, which can recommend mobile phones to a user, which are most popular and personalized respectively. The project was accomplished by employing recommendation techniques such as popularity-based recommendation and collaborative filtering methods to recommend a mobile handset to its users based on the individual consumer's behavior/choice.
• Feature Engineering and Model Tuning : The project was accomplished by employing supervised learning, ensemble modeling, and unsupervised learning techniques to build and train a prediction model to identify Pass/Fail yield of a particular process entity for a semiconductor manufacturing company. This project helps to determine key factors contributing to yield excursions downstream in the process and will enable an increase in process throughput, decreased time to learn and reduce per-unit production costs.
• Unsupervised Learning :The project involves clustering the vehicles based on fuel consumption attributes to train a regression model.Generating synthetic data using existing partially labeled data provided for a wine manufacturer,curating a dimensionally reduced data to build a supervised learning classification model for an automobile dataset based on historical data
• Ensemble Techniques: The project was accomplished by deploying a GUI powered by supervised learning and ensemble modelling techniques to build and train a prediction model for a telecom company. This will help them identify the potential customers who have a higher probability to churn. This will enable the company to understand and pinpoints the patterns of customer churn and increase the focus on customer retention strategies.
• Supervised Learning :This project uses the most popular classification techniques to predict the outcomes after an extensive EDA and work missing values, and imbalance in data. This project deployed predicting the condition of the patient depending on the received test results on biomechanics features of the patients according to their current conditions and building an AIML model to perform focused marketing by predicting the potential customers who will convert using the historical database
• Applied Statistics: This project uses Plotting distribution, Visualization and Hypothesis Testing to validate statistical evidence and leverage information to make effective decisions Part 1 - Answering Industry Problems through Statistical inferences Part 2 - Analyze past tournament information to make informative investment decisions. Part 3 - Analyzing the status of various startups that participated in the Startup Battlefield which is the world's pre-eminent startup competition.

• Tutored and assisted high school,higher secondary students on computing concepts with Java ,Python
• Assisted and trained students of higher secondary in Mathematics CBSE curriculum with concepts
• Taught French for the students students remotely using online video chat platform and other delivery channels.
• Created tailored lesson plans and study guides to teach and assist students in area of study.
• Helped students prepare for tests and exams by providing guidance, motivation and encouragement.

• Instructed French and administered activities designed to enhance their knowledge in completing coursework.
• Assisted students in acquiring a better understanding of the French language and targeted weak areas within the subject as a whole.
• Provided tutoring plans according to each student studying material needs.
• Conferred with parents or guardians, and administrators to resolve students behavioral and academic problems.
• Reviewed class materials with students, discussing, working solutions to problems.
• Created lesson plans for the individual student based on a variety of topics and tied in relevant vocabulary.

• Source and recruit candidates by using databases, social media etc
• Screen candidates resumes and job applications
• Assess applicants relevant knowledge, skills, soft skills, experience and aptitudes
• Onboard new employees in order to become fully integrated
• Act as a point of contact and build influential candidate relationships during the selection process
• Discover and explore new training opportunities in the market
• Identify and propose business deals by contacting potential clients
• Identify training and development needs with client organization
• Design training and development programs based on the needs of the client organization and the individuals
• Monitor the quality and timeliness of all training activities via training attendee feedbacks
• Build strong business relationship with the customers
• Instrumental in bringing in big and new logo's / customers to EMP Gowin Global

• Implementing customer networks.
• Understanding and providing solutions for the customer's requirement.
• Documenting the installation, operational procedures
• Organizing training sessions for the customers and internal units.
• Design and implement messaging solutions for the customers.
• Final level of escalation and point of contact for customer networks/mail related issues
• Designing and implementing disaster recovery procedures
• Trained and managed junior engineers

• Configuration for the dialup connections.
• Troubleshooting Line/Modem/Software/Hardware related problems.
• Installation and configuring POP3 clients and browsers.