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shawn dçosta

@shawndcosta

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Passionate Data Scientist delivering valuable insights through analytics.

India

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What I'm looking for

I am looking for a job that offers a dynamic and collaborative company culture, challenging responsibilities, and opportunities for career growth. I am particularly interested in roles that involve data analysis, machine learning, and AI research. I value companies that prioritize innovation and provide a supportive environment for professional development.

I am a passionate and experienced Data Scientist with a demonstrated ability to deliver valuable insights through data analytics and advanced data-driven methods. I have a strong background in R and Python, with expertise in libraries such as Pandas, Numpy, Matplotlib, and Sklearn. I am skilled in Tableau, AWS (S3, API Gateway, Sagemaker, Lambda), GCP, PySpark, Docker, and REST API. I excel in statistical analysis, data visualization, and data summarization techniques, with a deep understanding of probability, statistics, and Bayesian methods. I am also knowledgeable in deep learning concepts such as LSTM, RNN, CNN, and have worked with packages like Tensor Flow, Keras, PyTorch, and Fast AI.

In my current role as a Data Scientist at EPAM Systems, I have successfully worked on NLP projects for creating alerts based on text, explored LLMs for architectural transformation, and led an internal NLP project for the medical domain. I have also enhanced existing models for predicting delivery time and coordinated with the business to incorporate new features. I am proficient in interpretability libraries like ELI5 and Microsoft's responsible AI toolkit. I have designed KubeFlow pipelines for deploying models in production using GCP's Vertex AI.

As a Data Science Consultant at Accenture AI, I achieved significant results in reducing setup time for a leading corrugated manufacturer, built optimizers for scheduling products, and developed rare event detection models for a steel company. I also worked on projects involving smart detection of values from electricity and water meters, and using satellite imagery to detect methane emissions. At Siemens, I created ETL pipelines, worked on similarity search algorithms, built fault inspection deep learning models, and implemented data cleansing projects.

Experience

Current

Data Scientist

Current

EPAM Systems

Mar 2022 - Present (2 years 2 months)

Worked on NLP project for creating alerts based on the text (text with regards to Media / Finance). Managed to create models and rules for those models to understand which texts from the Articles / Blogs / News related sources, are important for the user. Along the lines, also exploring LLM's for architectural transformation via Few-shot Learning and Retrieval Augmented In-Context Learning for tra

R Python Pandas Tableau API Gateway Sagemaker GCP Docker Statistical Analysis Data Visualization Probability Statistics Time Series Analysis Keras PyTorch AI

Data Scientist

Siemens

Jun 2020 - May 2021 (11 months)

Created ETL pipeline to cleanse and automate the process of having cleaned data by using AWS Glue Jobs, wrote PySpark Codes to achieve the task. Also worked on Similarity search algorithm for similar data points in the Database for the end users to have alternate data using AWS Sagemaker. Leveraged AWS Step Functions to orchestrate the Glue Jobs, used lambda functions to trigger the jobs. Worked o

ETL AWS Glue Pyspark Search AWS Sagemaker AWS Step Functions Deep Learning SAP Data Validation API Gateway Route 53 Cognito TLS AWS Lambda

Data Science Consultant

Accenture AI

May 2021 - Mar 2022 (10 months)

Achieved to reduce the setup time of Corrugated Boxes by aggregating small orders which have been coming for a couple of months, for our client who is a leading Corrugated Manufacturer in USA. Showcased valuable insights on how to eﬃciently utilise warehouse as well by planning out eﬃcient strategies. Built an optimizer which is an extension of the above project for scheduling the products in resp

Optimization Survival Analysis Electricity Object Detection Satellite Methane Emissions

Data Scientist

Kissht Finance

Nov 2019 - Jun 2020 (7 months)

Created XGBoost model with decent accuracy to Predict whether a customer will be Delinquent or no based on their past records. Giving insights to decide which campaign to go forward with which, it will bring in new customers, or make the old customers take loan who haven't taken a loan yet. Also assessing which campaign is performing good and how it can be made better. Working on Fraud Risk Assess

XGBoost Predictive Analysis Campaign Analysis Fraud Analysis

Senior Executive Engineer / GET

SAMSUNG INDIA ELECTRONICS PVT LTD.

Apr 2017 - Nov 2019 (2 years 7 months)

Performed Anomaly Detection where in certain KPI's were checked for Network Performance and if any issue occurs how we can mitigate them so that it does not occur in future. Worked in close junction with Customer ( Jio Team ) to analyse and ﬁne tune the anomaly detection part. Python automation for getting the logs from the system for KPI analysis. Developed Automation tool for the Node Upgrades a

Anomaly Detection Network KPI Analysis Automation Node