Sandnyit Pathare

As a recent MSC Data Science graduate with more than one year of experience as a data scientist, I have a solid foundation in data analysis techniques, statistical modeling, machine learning, and deep learning. I possess a passion for leveraging data insights to drive business impact and a robust problem-solving mindset that enables me to tackle complex data challenges.

My expertise in programming languages like Python and SQL and data manipulation tools like Pandas and NumPy allows me to collect, clean, and analyze complex data sets. I have experience developing and deploying machine learning models for predictive analytics. I am proficient in data visualization tools, enabling me to communicate insights effectively.

I have worked with sensitive data throughout my career, and I understand the importance of data privacy and security. I possess exceptional attention to detail and take a systematic and analytical approach to data analysis.

As a data scientist, I am committed to leveraging my skills to help organizations make data-driven decisions that drive business impact. I thrive in a collaborative environment and enjoy working with cross-functional teams to find innovative solutions to complex problems.

Overall, I am excited to continue growing my career in data science and am dedicated to delivering high-quality work that exceeds expectations. If you want to discuss how I can help your organization make data-driven decisions, please don't hesitate to contact me.

Experience:

Data Scientist
Epitomical Limited · Full-time
Jul 2021 - Jul 2022 · 1 year 1 months
Guildford, England, United Kingdom
Epitomical is a cutting-edge start-up specialising in exciting and innovative technologies, including robotics and 5G.
Developed a data pipeline for the Ministry of Defence project, using AWS cloud technologies to transfer data from a custom Android application to a rover. Built an EC2 server to retrieve data and leveraged AWS Lambda to process and store it in a database.
Applied natural language processing (NLP) techniques to decode complex data strings on the server side.
Replicated this data pipeline for a leading construction company, using Python and AWS to transfer data from IoT devices to a cloud-based database. 
Customised an Android application to measure dust particulate (PM 2.5 and PM 4.0) using a sensor connected to an Android device. Used MQTT client to send data to PowerBI for visualisation, providing valuable insights for clients.

CSD Engineer
ENVEA Group · Full-time
Jun 2019 - Feb 2020 · 9 months
Navi Mumbai, Maharashtra, India
ENVEA is a world class manufacturer of ambient, emission and process monitoring systems, with full turnkey capabilities.

Worked on the 'SAFAR' project, overseen by the Indian Institute of Tropical Meteorology, Pune, to measure different pollutants and dust particulates in the Mumbai Metropolitan Region (MMR).
Collected and analysed data from multiple weather monitoring stations in MMR, ensuring accuracy and resolving any faults or irregularities in the data.
Generated hourly and daily data reports, ensuring data quality and accuracy and sent reports to various government departments and institutes.
Worked closely with cross-functional teams, including meteorologists and other Engineers, to ensure project success and adherence to project timelines and milestones. Demonstrated strong problem-solving skills and keen attention to detail in all aspects.

Research And Development Engineer
India Tech Group · Full-time
Jan 2019 - Apr 2019 · 4 months
Mumbai, Maharashtra, India
India Tech Group’s aim was to make students aware about latest trending technologies and deliver technical workshops, internship in School, Colleges & Universities all over India.
• My responsibility here was to work on areas such as Home automation, Robotics, Virtual Reality, and Augmented Reality.
• I also conducted workshops on topics such as these at a multitude of college campuses across the country like REVA University and SRM University.

Education:

Master of Science - MSc, Data Science
University of Surrey
Jan 2020 - Aug 2022
Grade: Distinction
Dissertation: Brain Tumour MRI Classification using Deep Learning:
Implemented multiple Convolutional Neural network models to classify Brain MRI scans to detect whether a person has a brain tumour and classify the type of tumour if results are positive.

Modules Studied:
Practical Business Analytics(R),
Data Science Principles and Practices(Python), 
Database Systems(MySQL), 
Computational Intelligence (Python), 
Cloud Computing(Python, AWS, GCP), 
Machine Learning and Data Mining (Python), 
Natural Language Processing (Python).

Academic Projects:
Natural Language Processing:
Netflix multi-label classification using RNN, MLP and SVM

Machine Learning and Data Mining:
Five different machine-learning algorithms were implememnted along with Reinforcement Learning.

Cloud Computing:
Multi-Cloud service application created using Google Cloud (App Engine), AWS Lambda, AWS EC2 and S3 Bucket for the project.

Bachelor of Engineering - BE, Electronics Bachelor of Engineering - BE, Electronics 
Vidyalankar Institute of Technology, Mumbai
2015 - 2018
Grade: 6.34 cgpa

Vidyalankar Polytechnic
High School Diploma, Electronics and Telecommunications
Vidyalankar Polytechnic
2012 - 2015
Grade: 77%