About the job
Description

Intern, IT Enterprise Solutions
Syneos Health® is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities.

Every day we perform better because of how we work together, as one team, each the best at what we do. We bring a wide range of talented experts together across a wide range of business-critical services that support our business. Every role within Corporate is vital to furthering our vision of Shortening the Distance from Lab to Life®.

Discover what our 29,000 employees, across 110 countries already know:

WORK HERE MATTERS EVERYWHERE

Why Syneos Health

We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
We are committed to our Total Self culture – where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. 
We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we’re able to create a place where everyone feels like they belong.

Our Summer Internship Program

An internship with us gives you the opportunity to work side by side with passionate problem solvers on powerful and fulfilling work. Our collaborative culture inspires you to learn from the expertise surrounding you and to share your own knowledge and experience with colleagues. You’ll be asked to speak up and challenge the status quo – you have a voice and will be encouraged to use it.

Additionally, over the summer, there will be opportunities to participate in events just for our interns: social events with other interns, career development workshops, community service projects, and networking with senior leaders – just to name a few!

This Opportunity

The Information Technology (IT) team is seeking an intern to join us to work various technology projects, including business process improvement, data analysis / mapping, and technology research. In this role, you will have the opportunity to broaden your background and apply your skills to solve real-world problems. If you have a strong analytical background and a keen interest in learning about technology, project management, and the pharmaceutical industry, this is the internship for you.

What You’ll Do

Conduct business process research and gather information to gain a deeper understanding of customers and existing processes.
Work with project leaders to plan projects, maintain critical information, track deliverables, and coordinate related documentation.
 Participate and contribute to requirements gathering by interfacing with business stakeholders
 Assist with project communications, including communications to stakeholders and IT colleagues
Evaluate and provide business process improvements to reduce process complexity, increase process efficiency, increase process effectiveness, and enable speed of operational processes

Qualifications

Your Skills & Expertise

a bachelor’s degree in a technology major such as Computer Science, Engineering, Business Information Technology, Management Information Systems, Information Science, or similar
 Past internship experience or coursework in business process and/or data analysis
 Knowledge of technology systems and applications; knowledge of project management methodology and mechanics (SDLC, Waterfall, Agile) is a plus
Strong analytical and problem-solving skills; ability to learn quickly and apply learning to activities
Proactive, self-motivated, and team-oriented
Curious, creative mindset with comfort and ability to ask questions and seek answers as needed
 Ability to quickly learn, internalize, and utilize new information and processes
 Strong communication skills – written and verbal
FOR THIS JOB USE MY RESUME : Rahul Kotian
linkedin.com/in/rahulkotian26 | rahulkotian26@gmail.com | rahulkotian98.github.io/portfolio1 | 680.216.3807 Education
 Syracuse University School of Information Studies
Master of Science in Information Systems
Mumbai University
Bachelor of Engineering in Computer Engineering
May 2023
GPA: 3.67/4.0
October 2020
GPA: 3.3/4.0
Courses: Introduction to Data Science, Project Management, Information System Analysis, Cloud Management, Strategic Management, Enterprise Risk Management, Lean Six Sigma, Big Data and Analytics, Artificial Intelligence & Machine Learning, Applied Mathematics, Data Warehousing and Mining, Database Management Systems
Skills
Data Science: Machine Learning, Predictive Modeling, Data Mining, Topic Modelling, Sentiment Analysis, Supervised/ Unsupervised Learning, and Libraries (NumPy, Pandas, Scikit-learn, PySpark, Tensorflow, NLTK, Matplotlib, Plotly) Technologies: SQL, Python, R, Kaizen, Selenium, Bloomberg, Jira, ANOVA, Matlab, Git/GitHub
Business Analytics: Excel, Microsoft Power BI, Tableau, SSAS, Report Designer BI, Alteryx, SAS
Cloud Technologies: Amazon Web Services, Microsoft Azure, Google Cloud Platform Experience
Data Analyst | Dynamic Sustainability Lab July 2022 - May 2023
• Conducted comprehensive analysis on more than 150 energy measurement points within a $2.11 billion enterprise utilizing Power BI, Report Designer BI, and EnergyCAP.
• Initiated the creation of an advanced Power BI dashboard, integrating diverse data sources, conducting Data Mining and Data Wrangling, crafting custom visualizations, and providing ongoing updates to senior leadership.
• Orchestrated the implementation of an innovative energy resource tracking system leveraging Power BI and SQL Server Analysis Services (SSAS), with a projected 15% reduction in energy usage.  
Lean Six Sigma Consultant
L & G Stickley
Feb 2022 - May 2022 
Manlius, New York, United States 
• Spearheaded the team to synthesize and evaluate necessary metrics, refining existing processes and providing a 35% increase in client satisfaction
• Revamped production line process across 4 factory locations increasing yield while reducing operator turnover by 12%, contributing to a 15%
increase in total revenue using data analysis
• Optimized business decisions by leveraging Arena simulation software and quantitative analysis, resulting in a 15% upturn in efficiency
• Evaluated and capitalized a product inventory system to identify and provide solutions by applying the 6 Sigma DMAIC cycle (Define, Measure, Analyze, Improve and control) for systemic issues, reducing errors by 40%
Projects
Healthcare Data Analysis | Introduction to Data Science December 2022
• Spearheaded a team of 5 to conduct Exploratory Data Analysis (EDA) and streamline data using R, unveiling critical drivers of escalating healthcare expenses.
• Implemented a robust machine learning model integrating Linear, K-Support Vector Machines (KSVM), and RTree models, achieving an accuracy of 75% and sensitivity of 80% in projecting high-cost patients for the upcoming year.
• Employed R to craft insightful visualizations including maps, box plots, histograms, bar charts, and pie charts, culminating in identification of four actionable insights aimed at curbing individual healthcare expenditures.
Next Word Prediction | Natural Language Processing August 2019
• Advised the development and implementation of cutting-edge NLP strategies, resulting in a 25% increase in accuracy for next-word prediction tasks.
• Directed the management and processing of extensive datasets, comprising over 23,000 unique words, showcasing expertise in handling large-scale data, leading to a 30% improvement in model robustness.
• Developed a streamlined LSTM model with 128 neurons, achieving a remarkable 95% accuracy rate in language prediction, surpassing industry standards by 20%.
UX Research November 2019
• Influenced product development at Google Generative AI, Meta, Universal Music Group, Spotify, Google Maps, Google Pay, YouTube, YouTube Shorts, Suntory, and TransPerfect through UX research initiatives.
• Shaped over 10 prototypes with key insights, impacting product design and innovation.
• Recommended 50+ video conferences to drive data-driven improvements for 15+ products; identified customer pain
points through analytics, boosting customer satisfaction by 25% and retention rates by 20%.
Spoken Language Understanding using Pretraining Technique | SSRN Research Publication October 2020
• Achieved a 15% performance enhancement for the SLU model by conducting intricate dataset analysis, refining preprocessing techniques, and optimizing feature selection for NLP tasks.
• Resolved data-related challenges to bolster model robustness, resulting in a 20% increase in implementation accuracy and ensuring the delivery of reliable insights.
• Engineered a streamlined speech recognition model that achieved an exceptional accuracy rate of 95% using pre-trained machine learning. Managed a dataset comprising 248 distinct phrases across 31 intents totaling 10 GB in size.
   AND ANSWER THIS QUESTIONS BY THE RECRUITER USING THE JOB DESCRIPTION, MY RESUME AND SYNEOS HEALTH : Why are you interested in Syneos Health and this role?
In which programs/ systems do you have the most experience ?
Any relevant past experience?