Sandy Spicer Email & Phone Number

East Hartford, Ct, Us

East Hartford, Ct, Us

East Hartford, Ct, Us

Primary Focus: Improve enterprise inventory flow by establishing a data governance process to track, measure, and address non-conformances * Established digital thread and governance of milk run process that led to a 66% reduction in process lead time for one module center in less than 1 year* Co-led initiative to identify & address root causes associated with materials planning disconnects within the Module Center & Operations (MC&O) Spares Commits process resulting in a $12M drop & 95% improvement in the team's assigned pareto* CORE Expert in Training* 2023 Leadership Awards Winner - Go Beyond in CORE* 2024 IBP Co-Chair for Leadership Awards* 2024 Leadership Award Nominee

East Hartford, Ct, Us

* Managed virtual spares warehouse across 8 international customers to ensure schedule alignment and perform critical part allocations* Reduced inventory by 45% in 1 year - Uncovered $11M of excess inventory and drove the removal of this excess - Identified $6M of excess inventory that translated to $1.5M of immediate sales* Developed a new schedule review process that aligned $500k of customer demand to supply* Created and submitted a $35K waterline proposal to tackle SAP issues in virtual plants* Discovered SAP forecast load error totaling $300k across four parts and led a team to correct the MRP schedule* Identified and removed $7M of excess forecast generated by forecasting tool* Developed a forward-looking demand vs. supplier commit analysis to identify $75M of uncommitted material and $41M of excess commits to demand through EOY 2021

East Hartford, Ct, Us

• Subject Matter Expert: F100 Spare Part Forecasting– Produced and analyzed part forecasts in excess of $4B∗ Identified forecast duplication and spear-headed the initiative that removed $40M in excess forecast from MRP ∗ Acute attention to detail enabled the identification of forecasting errors valued at $25M∗ Developed and automated F100 aggregate demand forecast reporting process that reduced the time to execute by 75%– Conducted training sessions to educate Logistic Program Managers for 23 countries to improve forecast accuracy– Developed, maintained, and enhanced data visualization toolset that drives part planners’ task prioritization and gives management/leadership critical vision of the spare parts inventory– Created predictive analytics, statistics, and data mining on large data sets using tools such as Excel, Access, SQL, and Qlik

Loudonville, Ny, Us

• Collaborated as a member of a cross-functional team with Athletics and the Marketing and Communications office to coordinate and photograph events on campus • Successfully met customer and stakeholder expectations under high-pressure and time-sensitive situations• Examples include sports games, commencement, awards ceremonies, and concerts• Flickr profile: https://www.flickr.com/photos/134174408@N03/

Loudonville, Ny, Us

• Effectively guided students through physics problems to help develop critical thinking skills

Loudonville, Ny, Us

Role and Skills Gained:• Utilized H-alpha to spatially resolve star formation rates in local galaxy groups and clusters• Optimized data reduction of imaging data from Kitt Peak National Observatory’s WIYN 0.9m telescopeTitle: “Probing Gas Stripping in Local Group and Cluster Galaxies”Advisor: Dr. Rose FinnAbstract:Morphology and environment are two factors that affect star formation rates in galaxies in field and cluster environments. We trace where new stars are forming using a broad red filter and narrow-band imaging centered on the observed wavelength of H-alpha. This hydrogen recombination line signals the presence of ionized hydrogen gas and the young massive stars that ionize this gas. We reduce the imaging data for the galaxy groups MKW11 and NRGb004 taken at the WIYN 0.9 m telescope at Kitt Peak National Observatory (KPNO). We perform a qualitative analysis by comparing the star formation rates of the galaxies within these clusters based on morphology and galactic environment. Our next step is to quantify the relative extent of the star-forming and stellar regions to look for evidence of the specific environmental processes that could remove gas from galaxies such as ram-pressure stripping by the intracluster medium.Presentations:* Poster Presentation at American Astronomical Society (AAS) 2017 in Grapevine, TX* Poster Presentation at 2016 Quadrennial Physics Conference (PhysCon) in San Francisco, California (November 3-5, 2016)* Poster Presentation at Astronomical Society of New York Meeting (ASNY) on November 12, 2016* Poser Presentation at Siena College Summer Research Symposium

Loudonville, Ny, Us

As part of the Undergraduate ALFALFA Team, we are conducting a survey of the gas and star-formation properties of galaxies in 36 groups and clusters in the local universe. The galaxies in our sample span a large range of galactic environments, from the centers of galaxy groups and clusters to the surrounding infall regions. One goal of the project is to map the spatial distribution of star-formation; the relative extent of the star-forming and stellar disks provides important information about the internal and external processes that deplete gas and thus drive galaxy evolution. We obtained wide-field H-alpha observations with the WIYN 0.9m telescope at Kitt Peak National Observatory for galaxies in the vicinity of the MKW11 and NRGb004 galaxy groups and the Abell 1367 cluster. We present a preliminary analysis of the relative size of the star-forming and stellar disks as a function of galaxy morphology and local galaxy density, and we calculate gas depletion times using star-formation rates and HI gas mass. We will combine these results with those from other UAT members to determine if and how environmentally-driven gas depletion varies with the mass and X-ray properties of the host group or cluster. This work has supported by NSF grants AST-0847430, AST-1211005 and AST-1637339. * Poster Presentation at American Astronomical Society (AAS) on January 6, 2017

Rochester, Ny, Us

Role and Skills Gained:• Analyzed large datasets from the Illustris large-scale cosmological simulations using Python in order to probe the galactic environments that host binary black hole mergers• Uncovered discrepancies in the simulations through data mining and comparison to observational dataTitle of Project: What Kind of Galaxies Host the Black Holes Heard by LIGO?Advisor: Dr. Sukanya ChakrabartiAbstract:The discovery of gravitational waves has opened up a new window into astrophysics that allows us to probe the darkest regions of the universe. LIGO’s binary black hole (BBH) detection rates have given rise to questions regarding the environments that host BBH. It has been shown that massive black holes form more easily in regions of low metal content. The low-metallicity star formation environments found in the outer HI disks of spirals and dwarf galaxies are likely candidates for producing the BBH mergers detected by LIGO. We analyze the Illustris-1 large-scale cosmological simulations in order to place constraints on the galactic environments in that these hosts form as well as make predictions for the redshift evolution of LIGO sources. We compare the detection rate of BBH mergers in both the outskirts of spirals and dwarf galaxies. Answering these questions will give us a better understanding of the progenitors of BBH. Presentations:* RIT Undergraduate Symposium

New Brunswick, Nj, Us

Role and Skills Gained:• Analyzed high resolution “zoom-in” cosmological numerical hydrodynamic simulations from GADGET-3 that include modeling of black hole accretion and feedback to trace the inflow and outflow of gas within galaxies• Performed data visualization of galaxy evolution in Python to determine the origin of the gas that feeds supermassive black holesTitle of Project: Tracing the Origin of Black Hole Accretion Through Numerical Hydrodynamic Simulations​Advisor: Dr. Rachel SomervilleAbstract:It is now widely accepted that supermassive black holes co-evolve with galaxies, and may play an important role in galaxy evolution. However, the origin of the gas that fuels black hole accretion, and the resulting observable radiation, is not well understood or quantified. We use high resolution "zoom-in" cosmological numerical hydrodynamic simulations including modeling of black hole accretion and feedback to trace the inflow and outflow of gas within galaxies from the early formation period up to present day. We track gas particles that black holes interact with over time to trace the origin of the gas that feeds supermassive black holes. These gas particles can come from satellite galaxies, cosmological accretion, or be a result of stellar evolution. We aim to track the origin of the gas particles that accrete onto the central black hole as a function of halo mass and cosmic time. Answering these questions will help us understand the connection between galaxy and black hole evolution.Presentations:* Poster Presentation at APS on April 15, 2018* Poster Presentation at AAS on January 11, 2018* Poster Presentation at Astronomical Society of New York Meeting (ASNY) on November 12, 2017* Poster Presentation at Siena College Summer Research Symposium* Poster Presentation at Rutgers REU Symposium, Piscataway, NY

Worked alongside professional photographer to meet customer's needs at weddings, bar mitzvahs, graduations, and portrait sessions

Master'S Degree, Applied Data Science

Bachelor Of Science - Bs, Physics & Astronomy

Education record

High School Diploma, Salutatorian