• Data scientist with over 5 years of experience in the development of Machine Learning models and data analysis. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in machine learning, deep learning, statistical analysis, data modeling, data engineering, computational optimization, and natural language processing.• Comfortable writing complex SQL queries to extract and integrate data from multiple database sources with developing and implementing data science techniques (predictive, prescriptive, ML etc.)• Leveraged OpenCV, CNNs, Fast RCNNs, Mask RCNNs and YOLO to develop computer vision applications. Strong mathematical and statistical testing experience to implement feature selection in machine learning and AI models.• Expertise in Python, and Java writing programs and analyzing large datasets to uncover answers to complex problems and discover trends and patterns.• Worked on several high-visibility Data Science case studies and was instrumental in the end-to-end development, and deployment of some cutting-edge ML solutions.• Proficient in designing a high-performing Machine Learning algorithms for regression, classification, and clustering problem statement.• Knack of keeping abreast of all emerging Technology trends in areas like NLP, Image Processing, Computer vision, Deep Learning • Skilled in Machine learning, pattern recognition, predictive modeling, recommendations, and deep learning extraction from unstructured data, pattern discovery, and time series forecasting.• Experienced in developing Recommendation Systems and Chatbots using state-of-the-art algorithms in Natural Language Processing• Knowledgeable in designing, deploying, and monitoring ML Model Pipelines in cloud Services.• Expertise in Cloud and ML Ops automation with experience with Docker and Kubernetes and Implemented Apache Airflow, Beam and Kubeflow to monitor the pipeline.• Skilled in designing and developing various dashboards, and reports utilizing Tableau and Power BI Visualizations like bar graphs, scatter plots, pie charts, geographic visualization, and others making use of actions, and other local and global filters according to the end-user requirement• Worked in an Agile environment and have good insight into Agile methodologies and Lean working techniques Participated in Agile ceremonies and Scrum Meetings
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Data ScientistNanna Computers IncToronto, On, Ca
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Data ScientistCapgemini Aug 2021 - PresentCanada• Developed and implemented data analysis, data collection systems, and other strategies that optimize statistical efficiency and quality. Acquiring data from primary or secondary data sources and maintaining databases.• Worked with Machine learning algorithms and their hyperparameters to ensure the optimal performance of the model.• Used Kafka to store the continuous data and used Mongo DB to store them.• Analyzed the raw data and did Exploratory data analysis to find out the key insights from that data.• Leveraged image processing techniques, such as image segmentation, feature extraction, and object recognition, to analyze and extract meaningful information from images, contributing to projects like computer vision and image classification• Created a fully connected Neural Network and experimented with different hyperparameters.• Built a pipeline with the components like Data ingestion, Data validation, Data transformation, Model Trainer, Model Evaluation, and Model pusher.• Built SQL queries to extract data from databases and automate data analysis tasks.• Developed and implemented natural language processing (NLP) techniques to preprocess, tokenize, and clean textual data for various applications like sentiment analysis, topic modeling, and named entity recognition.• Used Apache Airflow for observing the model performance and scheduling it on a Biweekly cycle.• Prepared necessary presentation materials for review meetings, interact with project stakeholders, and run regular cadence meetings and work in alignment with team and organization goals.• Worked on collaborated with a team of ten members in all stages of systems development, from requirement gathering to production go-live, and provided post-go-live support on high severity issues. Built and implemented architecture roadmaps for next-generation Artificial Intelligence solutions -
Data ScientistTata Consultancy Services Jan 2019 - Aug 2021India• Developed predictive models for customer behavior and demand forecasting using machine learning algorithms such as Random Forest, Gradient Boosting, and Neural Networks• Worked proactively on analyzing data to answer key questions from stakeholders about business performance, investigating and communicating areas for improvement in efficiency and productivity• Involved in using cladistics algorithms and methods to analyze biological data and infer evolutionary relationships among species• Worked with different techniques such as missing data imputation, outliers, imbalance dataset treatment, scaling techniques, feature selection etc. to overcome challenges.• Designed and deployed automated email systems using Java to send personalized and targeted emails, streamlining communication and enhancing user engagement.• Problem statement was to build a recommendation system for jobs and resume. Used python libraries like NLTK, Spacy and text blob to perform the cleaning of the textual data like removing HTML tags, URLs, Numbers, Spelling Correction, stop words and lemmatization. • Performed mean pooling operation on dense vector embeddings to create a single vector encoding i.e., the sentence encoding multiplied with attention mask value finally resulted in masked embeddings. • Developed, maintained, and processed large databases with complex relationships between tables. Written several advanced SQL queries for extracting relevant data for predictive analytics • Built and implemented architecture roadmaps for next-generation Artificial Intelligence solutions• Analyzed large datasets to identify patterns, trends, and insights using statistical analysis and visualization tools like Tableau and Power BI• Conducted data preprocessing tasks, including text normalization, removal of stop words, special characters, and HTML tags, to clean and prepare unstructured text data for downstream analysis.
Sneha Akula Education Details
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Computer Science Engineering
Frequently Asked Questions about Sneha Akula
What company does Sneha Akula work for?
Sneha Akula works for Nanna Computers Inc
What is Sneha Akula's role at the current company?
Sneha Akula's current role is Data Scientist.
What schools did Sneha Akula attend?
Sneha Akula attended Visvesvaraya Technological University.
Who are Sneha Akula's colleagues?
Sneha Akula's colleagues are Ankitha Gowda, Nuray E. Ada, Lavanya Singh, Prasang Dubey, Selvakumar Ks, Jadala Madhulatha, Shrushti Mahajan.
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Sneha Akula
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