Preet Sekhon Email & Phone Number

San Anselmo, Ca, Us

As the Head of Business Development, I lead the strategy, planning, and execution of growth initiatives, focusing on expanding our market presence and driving revenue growth. My key responsibilities include identifying new business opportunities, fostering strategic partnerships, and developing long-term client relationships. I collaborate closely with cross-functional teams—such as sales, marketing, and product development—to ensure alignment on corporate goals and create tailored solutions for our clients.Key Responsibilities: - Develop and implement a comprehensive business development strategy. - Identify and pursue new market opportunities and revenue streams. - Build and maintain relationships with key stakeholders, including clients, partners, and industry leaders. - Negotiate contracts and agreements to secure favorable terms for the business. - Lead and mentor a high-performing business development team to achieve quarterly and annual targets. - Collaborate with the executive team to align business goals with overall company strategy. - Analyze market trends and competitors to inform strategic decision-making.

At Realm Advisors, we're revolutionizing the way businesses and individuals maximize their tax savings. Our mission is to unlock the full potential of tax credits and deductions, delivering bespoke solutions that significantly reduce tax liabilities and enhance financial growth. We specialize in:- Cost Segregation- Cost Segregation - GZT- R&D Tax Credits- Section 179D​Our team of experts brings together decades of experience in tax consultancy, leveraging in-depth knowledge and cutting-edge strategies to ensure optimal outcomes. We are committed to not only meeting, but exceeding our clients' expectations, providing personalized service that addresses the unique needs of each business or individual.

Project: Tru by Hilton - Sonoma County Airport- Managing $24M construction budget- Secured franchise from Hilton to build one of their newest brands, Tru by Hilton.- Managed proforma and built an economic model for the feasibility of the project.- Use political influence to push through local bureaucratic roadblocks.- Grew company’s assets from 6M to 30M.

- Managed an annual budget of $4.5M and provided long-term financial planning. - Prepared a rolling 12-month financial forecast for the business working closely with relevant stakeholders for inputs - Accelerated YOY Revenue by 128% over a 10-year period. Average of 9.16% per Year - Conducted statistical analysis on KPIs for operational performance analysis. - Created over 100 Standard Operating Procedures to Increase Efficiencies and Drive Value for Investors

New York, Ny, Us

Created robust predictive models with statistics and Python programming. Built confidence and credibility to tackle complex machine learning problems on the job.Dec 2022 – Jan 2023Cash Flow: Linear Regression and Classification to Identify Profitable Residential Real Estate Properties in California. (Capstone Project for Data Science Bootcamp) - Unlike most Real Estate Data Science Projects, I didn’t target sales price, but instead, CASH FLOW. - Personally created a large dataset from over 6 sources, over 20k rows, and 200+ individual columns. - Modeling: Ran both Regression and Classification Models. Data was lopsided so SMOTE and SMOTEEN were used for resampling. Dec 2022Binary Classification Forecasting – Georgia State Recidivism - Brier Score was used as the metric to optimize our models. Precision was also used in order to minimize false positives. However, the Brier score was prioritized due to limited scoring capabilities. - Modeling: Logistic Regression and a BayesSearchCV, BayesSearchCV over Random Forest Classifier, BayesSearchCV over XGBoost. XGBoost provided the best Brier Score overall, but Logistic Regression was used to show feature importance.Nov 2022NLP with Sentiment Analysis – Classification Project using SubReddits - Tokenized text and used a Sentiment Intensity Analyzer for EDA. - Modeling: Lemmatized and CountVectorized before using Logistic Regression, Random Forest Classifier, and Multinomial Naïve Bayes. All models performed well, with Logistic Regression being a slight winner.

- Managed an 87 Room Limited Service Hotel in a Tertiary Market. - Grew Annual Revenue from $780K to $1.8M- Achieved a Decade Straight of YOY Annual Revenue Growth. Average of 9.16% per Year- 2010 Most Improved Overall Satisfaction for the Iowa Region

Us

- Primarily focused on finding new customers and maturing those accounts- Coordinated educational events for potential clients- Created a comfortable business environment for my clients- Handled customer service issues to insure complete satisfaction

Bachelor'S, Business: Management

Data Science Immersive Program, Data Modeling/Warehousing And Database Administration, Data Science

Education record

Education record

Education record