John Lenz Email & Phone Number
@finefettle.com
2 phones found area 727
LinkedIn matched
Who is John Lenz? Overview
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John Lenz is listed as Digital Category Analyst at MilliporeSigma, a company with 10417 employees, based in Chelmsford, Massachusetts, United States. AeroLeads shows a work email signal at finefettle.com, phone signal with area code 727, and a matched LinkedIn profile for John Lenz.
John Lenz previously worked as Product Data Scientist at Milliporesigma and Retail Business Intelligence Analyst (Position Eliminated) at Fine Fettle. John Lenz holds Postgraduate Degree, Artificial Intelligence And Machine Learning from Texas Mccombs School Of Business.
Email format at MilliporeSigma
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AeroLeads found 1 current-domain work email signal for John Lenz. Compare company email patterns before reaching out.
About John Lenz
It may surprise many of you reading this but my initial entry into data and technology was marked with failure not success. As a finance student, I struggled so much with my first programming exposure that I had to drop the class. Despite many others encouraging me to solely focus on finance, something told me that technical and programming skills would be important for my future. The next semester, I returned to the same Python course with renewed determination, investing 10x as much effort to grasp the fundamentals and successfully pass. I didn't know it at the time, but that decision paved the way for the rest of my journey and proved to be transformative.While working in finance, I continued to build up my technical skills further and take on increasing challenging technical projects- starting with basic automation script and eventually working my way up to increasingly complex data analysis and pipeline development. Each success bolstered my resolve to keep learning and exploring the fascinating world of data science and Machine Learning.In 2022, I make a decisive decision to leave my finance roots behind and jump head first into a technical roles, its a decisive that again proved transformative. Within 18 months, and a few setbacks along the way, I progressed from writing SQL queries to implementing AI and ML models from scratch processing millions of records. Meanwhile, my Python skills which were still developing when I made the initial transition have improved drastically, and I have become both proficient and efficient in implementation. Today, I work at the intersection of data science and ML, building AI-enable solutions that drive substantial business impact and value for one of the largest companies in the world.This year I made yet another big leap and I enrolled in the University of Texas Austin post-graduate program in Artificial Intelligence and Machine Learning and will be completing the program in February 2025. My experience has shown and proven to me that no matter the starting point, its possible to self-learn technical skills and complex ML concepts as long as you have the persistence to keep pushing forward when its hardest. I'm passionate about pushing the boundaries of Artificial Intelligence and Machine Learning while maintaining a focus on high impact and interpretability.
Listed skills include Bloomberg Terminal, Equity Research Analysis, Microsoft Office, Time Management, and 10 others.
John Lenz's current company
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John Lenz work experience
A career timeline built from the work history available for this profile.
Product Data Scientist
Current- Data Processing and Analytics:
- Worked with large scale datasets with ~1m+ rows minimum regularly
- Devised controlled experiments to answer ambiguous and vague business questions regarding product/category analytics, and website traffic behaviors. Ensured results are unbiased, accurate, and actionable.
- Leveraged a vast array of different statistical analysis techniques including sampling, hypothesis testing, A/B testing, and regression analysis to solve business challenges.
- Built scalable data processing pipelines handling 1M+ daily records using cloud infrastructure (GCP Vertex AI)Machine Learning Implementations/Product Recommendation Engines:
- Developed and implemented data-driven algorithms to increase co-purchase product recommendations in the complicated medical diagnostics segment. Implemented ML models using Google Cloud Vertex AI.
Retail Business Intelligence Analyst (Position Eliminated)
- Developed ETL pipelines in Python bringing together data from multiple source systems using database connection libraries, Pandas, and NumPy for efficient large-scale data processing
- Built automated reporting system leveraging MySQL, Python, and Tableau. Processed daily transactions across multiple business units and divisions.
Business Data Analyst
-Saved company ~$30k/month by presenting data showing new customer retention strategy was not effective and was leading to lower-quality payer cohort without an improvement in conversion rates-Led data validation efforts in business model pivot, pinpointing and resolving multiple data quality issues between production, testing, and legacy systems-Mastered.
Financial Analyst (Fp&A)
-Produced monthly P&Ls and other relevant KPIs for market directors. Supported development of improved reporting infrastructure that reduced reporting time in half and resulted in more actionable information for leadership-Participated in monthly meetings between Operations, FP&A, and Senior management to better understand key drivers of current results.
Performance Analyst/Investment Associate
- Built automated python ETL pipeline for investment holdings data integration with TIBCO Spotfire
- Utilized Python to develop custom transformation logic and data cleaning strategies to handle missing values, poor formatting, and other common issues found in legacy systems.
- Saved one hour per client per month of data processing/labor time scaling across 50+ clients.
Investment Professional
-Actively wrote and developed research reports on individual companies, and managed my own portfolio for many years (2015-2020)-Investment Research Consultant (2016 and 2017)- Raymond James-Finalist in Boston CFA Society Institute Research Challenge (2018)-Passed CFA Level I Exam(~40% pass rate amongst industry professionals)- June 2018
Credit Analyst Intern
-Analyzed financial statements, credit metrics, and operating profits to develop internal ratings which determined the size of credit extended-Assisted in the annual renewal process of 3 different corporate loans worth an estimated $100M dollars-Constructed cash flow projections of prospective borrowers, including stress testing of loan performance and.
Investment Research Consultant
- Participated in weekly investment projects which were presented to the Senior Vice President of Investments
- Gained a deeper understanding of the relationships between the three financial statements (Income statement, Balance Sheet, and Statement of Cash Flows); this knowledge was important to giving context to financial.
Investment Research Intern
- Actively participated in weekly investment projects, and received increasing responsibilities and positive weekly feedback
- Researched and assessed the relative strengths/weaknesses of various equity investment styles and strategies across market cycles
- Analyzed multiple firms within the healthcare, technology, and financial sectors and delivered short 1-2 page investment summaries for each investment
Colleagues at MilliporeSigma
Other employees you can reach at sigmaaldrich.com. View company contacts for 10417 employees →
Cheryl Robarge
Colleague at MilliporesigmaNorth Chelmsford, Massachusetts, United States, United States
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Amanda N. Peterson
Colleague at MilliporesigmaKansas City Metropolitan Area, United States
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Rana Abbouchi
Colleague at MilliporesigmaGermantown, Maryland, United States, United States
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Wayne Cagno
Colleague at MilliporesigmaNew York City Metropolitan Area, United States
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Aditya Pattnaik
Colleague at MilliporesigmaPune, Maharashtra, India, India
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Diane Lidgett
Colleague at MilliporesigmaBellefonte, Pennsylvania, United States, United States
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JB
Jacob Blanchard
Colleague at MilliporesigmaLaurel, Maryland, United States, United States
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Amanda Dube
Colleague at MilliporesigmaNashua, New Hampshire, United States, United States
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Sarah Mcginnis
Colleague at MilliporesigmaFredonia, Wisconsin, United States, United States
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RM
Rishav Maini
Colleague at MilliporesigmaEverett, Massachusetts, United States, United States
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John Lenz education
Postgraduate Degree, Artificial Intelligence And Machine Learning
Computer Science Programming Certificate, Computer Software Engineering
Bachelor’S Degree, Finance
Bachelor Of Science In Business Administration(Bsba), Finance Major, Economics Minor
Frequently asked questions about John Lenz
Quick answers generated from the profile data available on this page.
What company does John Lenz work for?
John Lenz works for MilliporeSigma.
What is John Lenz's role at MilliporeSigma?
John Lenz is listed as Digital Category Analyst at MilliporeSigma.
What is John Lenz's email address?
AeroLeads has found 1 work email signal at @finefettle.com for John Lenz at MilliporeSigma.
What is John Lenz's phone number?
AeroLeads has found 2 phone signal(s) with area code 727 for John Lenz at MilliporeSigma.
Where is John Lenz based?
John Lenz is based in Chelmsford, Massachusetts, United States while working with MilliporeSigma.
What companies has John Lenz worked for?
John Lenz has worked for Milliporesigma, Fine Fettle, Golden Hearts Games, Columbia Care, and Nepc, Llc.
Who are John Lenz's colleagues at MilliporeSigma?
John Lenz's colleagues at MilliporeSigma include Cheryl Robarge, Amanda N. Peterson, Rana Abbouchi, Wayne Cagno, and Aditya Pattnaik.
How can I contact John Lenz?
You can use AeroLeads to view verified contact signals for John Lenz at MilliporeSigma, including work email, phone, and LinkedIn data when available.
What schools did John Lenz attend?
John Lenz holds Postgraduate Degree, Artificial Intelligence And Machine Learning from Texas Mccombs School Of Business.
What skills is John Lenz known for?
John Lenz is listed with skills including Bloomberg Terminal, Equity Research Analysis, Microsoft Office, Time Management, Critical Thinking, Teamwork, Research, and Microsoft Excel.
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